Archive for the ‘Ai’ Category

As AI Spreads, Experts Predict the Best and Worst Changes in … – Pew Research Center

(Vithun Khamsong/Getty Images)

This report covers results from the 16th Future of the Internet canvassing that Pew Research Center and Elon Universitys Imagining the Internet Center have conducted together to gather expert views about important digital issues. This is a nonscientific canvassing based on a nonrandom sample; this broad array of opinions about where the potential influence of current trends may lead society between 2023 and 2035 represents only the points of view of the individuals who responded to the queries.

Pew Research Center and Elons Imagining the Internet Center sampled from a database of experts to canvass from a wide range of fields, inviting entrepreneurs, professionals and policy people based in government bodies, nonprofits and foundations, technology businesses and think tanks, as well as interested academics and technology innovators. The predictions reported here came in response to a set of questions in an online canvassing conducted between Dec. 27, 2022, and Feb. 21, 2023. In all, 305 technology innovators and developers, business and policy leaders, researchers and activists responded in some way to the question covered in this report. More on the methodology underlying this canvassing and the participants can be found in the section titled About this canvassing of experts.

Spurred by the splashy emergence of generative artificial intelligence and an array of other AI applications, experts participating in a new Pew Research Center canvassing have great expectations for digital advances across many aspects of life by 2035. They anticipate striking improvements in health care and education. They foresee a world in which wonder drugs are conceived and enabled in digital spaces; where personalized medical caregives patients precisely what they need when they need it; where people wear smart eyewear and earbuds that keep them connected to the people, things and information around them; where AI systems can nudge discourse into productive and fact-based conversations; and where progress will be made in environmental sustainability, climate action and pollution prevention.

At the same time, the experts in the new canvassing worry about the darker sides of many of the developments they celebrate. Key examples:

In sum, the experts in this canvassing noted that humans choices to use technologies for good or ill will change the world significantly.

These predictions emerged from a canvassing of technology innovators, developers, business and policy leaders, researchers and academics by Pew Research Center and Elon Universitys Imagining the Internet Center. Some 305 responded to this query:

As you look ahead to the year 2035, what are the BEST AND MOST BENEFICIAL changes that are likely to occur by then in digital technology and humans use of digital systems? What are the MOST HARMFUL OR MENACING changes likely to occur?

Many of these experts wrote long, detailed assessments describing potential opportunities and threats they see to be most likely. The full question prompt specifically encouraged them to share their thoughts about both kinds of impacts positive and negative. And our question invited them to think about the benefits and costs of five specific domains of life:

They were also asked to indicate how they feel about the changes they foresee.

Some 79% of the canvassed experts said they are more concerned than excited about coming technological change or equally concerned and excited. These respondents spoke of their fears in the following categories:

The experts who addressed this fear wrote about their concern that digital systems will continue to be driven by profit incentives in economics and power incentives in politics. They said this is likely to lead to data collection aimed at controlling people rather than empowering them to act freely, share ideas and protest injuries and injustices. These experts worry that ethical design will continue to be an afterthought and digital systems will continue to be released before being thoroughly tested. They believe the impact of all of this is likely to increase inequality and compromise democratic systems.

These experts fear new threats to rights will arise as privacy becomes harder, if not impossible, to maintain. They cite surveillance advances, sophisticated bots embedded in civic spaces, the spread of deepfakes and disinformation, advanced facial recognition systems, and widening social and digital divides as looming threats. They foresee crimes and harassment spreading more widely, and the rise of new challenges to humans agency and security. A topmost concern is the expectation that increasingly sophisticated AI is likely to lead to the loss of jobs, resulting in a rise in poverty and the diminishment of human dignity.

They fear that the best of knowledge will be lost or neglected in a sea of mis- and disinformation, that the institutions previously dedicated to informing the public will be further decimated, that basic facts will be drowned out in a sea of entertaining distractions, bald-faced lies and targeted manipulation. They worry that peoples cognitive skills will decline. In addition, they argued that reality itself is under siege as emerging digital tools convincingly create deceptive or alternate realities. They worry that a class of doubters will hold back progress.

A share of these experts said humanitys embrace of digital systems has already spurred high levels of anxiety and depression and predicted things could worsen as technology embeds itself further in peoples lives and social arrangements. Some of the mental and physical problems could stem from tech-abetted loneliness and social isolation; some could come from people substituting tech-based experiences for real-life encounters; some could come from job displacements and related social strife; and some could come directly from tech-based attacks.

The experts who addressed these issues fear that norms, standards and regulation around technology will not evolve quickly enough to improve the social and political interactions of individuals and organizations. Two overarching concerns: a trend toward autonomous weapons and cyberwarfare, and the prospect of runaway digital systems. They also said things could worsen as the pace of tech change accelerates. They expect that peoples distrust in each other may grow and their faith in institutions may deteriorate. This, in turn, could deepen already undesirable levels of polarization, cognitive dissonance and public withdrawal from vital discourse. They fear, too, that digital systems will be too big and important to avoid, and all users will be captives.

Some 18% of the canvassed experts said they are more excited than concerned about coming technological change and 42% said they are equally excited and concerned. They shared their hopes related to the following themes:

These experts covered a wide range of likely digital enhancements in medicine, health, fitness and nutrition; access to information and expert recommendations; education in both formal and informal settings; entertainment; transportation and energy; and other spaces. They believe that digital and physical systems will continue to integrate, bringing smartness to all manner of objects and organizations, and expect that individuals will have personal digital assistants that ease their daily lives.

These experts believe digital tools can be shaped in ways that allow people to freely speak up for their rights and join others to mobilize for the change they seek. They hope ongoing advances in digital tools and systems will improve peoples access to resources, help them communicate and learn more effectively, and give them access to data in ways that will help them live better, safer lives. They urged that human rights must be supported and upheld as the internet spreads to the farthest corners of the world.

These respondents hope for innovations in business models; in local, national and global standards and regulation; and in societal norms. They wish for improved digital literacy that will revive and elevate trusted news and information sources in ways that attract attention and gain the publics interest. And they hope that new digital tools and human and technological systems will be designed to assure that factual information will be appropriately verified, highly findable, well-updated and archived.

These experts expect that the many positives of digital evolution will bring a health care revolution that enhances every aspect of human health and well-being. They emphasize that full health equality in the future should direct equal attention to the needs of all people while also prioritizing their individual agency, safety, mental health and privacy and data rights.

Hopeful experts said society is capable of adopting new digital standards and regulations that will promote pro-social digital activities and minimize antisocial activities. They predict that people will develop new norms for digital life and foresee them becoming more digitally literate in social and political interactions. They said in the best-case scenario, these changes could influence digital life toward promoting human agency, security, privacy and data protection.

Many of the respondents quite succinctly outlined their expectations for the best and worst in digital change by 2035. Here are some of those comments. (The remarks made by the respondents to this canvassing reflect their personal positions and are not the positions of their employers. The descriptions of their leadership roles help identify their background and the locus of their expertise. Some responses are lightly edited for style and readability.)

Decentralization is a promising trend in platform distribution. Web 2.0 companies grew powerful by creating centralized platforms and amassing large amounts of social data. The next phase of the web promises more user ownership and control over how our data, social interactions and cultural productions are distributed. The decentralization of intellectual property and its distribution could provide opportunities for communities that have historically lacked access to capitalizing on their ideas. Already, users and grassroots organizations are experimenting with new decentralized governance models, innovating in the long-standing hierarchical corporate structure.

However, the automation of story creation and distribution through artificial intelligence poses pronounced labor equality issues as corporations seek cost-benefits for creative content and content moderation on platforms. These AI systems have been trained on the un- or under-compensated labor of artists, journalists and everyday people, many of them underpaid labor outsourced by U.S.-based companies. These sources may not be representative of global culture or hold the ideals of equality and justice. Their automation poses severe risks for U.S. and global culture and politics. As the web evolves, there remain big questions as to whether equity is possible or if venture capital and the wealthy will buy up all digital intellectual property. Conglomeration among firms often leads to market manipulation, labor inequality and cultural representations that do not reflect changing demographics and attitudes. And there are also climate implications for many new technological developments, particularly concerning the use of energy and other material natural resources.

As communication technology advances into 2035 it will allow people to learn from one another in ever more diverse, multifaceted, widely distributed social networks. We will be able to grow healthier, happier, more knowledgeable and more connected as we create and traverse these networked pathways together. The development of digital systems that are credible, secure, low-cost and user-friendly will inspire all kinds of innovations and job opportunities. If we have these types of networks and use them to their fullest advantage, we will have the means and the tools to shape the kind of society we want to live in. Unfortunately, the commodification of human thought and experience online will accelerate as we approach 2035. Technology is already used not only to harvest, appropriate and sell our data, but also to manufacture and market data that simulates the human experience, as with applications of artificial intelligence. This has the potential to degrade and diminish the specialness of being human, even as it makes some humans very rich. The extent and verisimilitude of these practices will certainly increase as technology permits the replication of human thought and likeness in ever more realistic ways. But it is human beings who design, develop, unleash, interpret and use these technological tools and systems. We can choose to center the humanity of these systems and to support those who do so, and we must.

By 2035, technology will have developed a window into many inequities of life, thereby empowering individuals to advocate for greater access to and authority over decision-making currently entrusted to people with inscrutable agendas and biases. The power of the individual will expand with communication, artistic and educational capacities not known throughout previous human history. However, if trends remain as they are now, people, organizations and governments interested in accumulating power and wealth over the broader public interest will apply these technologies toward increasingly repressive and extractive aims. It is vital that there be a concerted, coordinated and calm effort to globally empower humans in the governance of artificial intelligence systems. This is required to avoid the worst possibilities of complex socio-technical systems. At present, we are woefully unprepared and show no signs of beginning collaborative efforts of the scale required to sufficiently address the problem.

To have an optimistic view of the future you must imagine several potential positives come to fruition to overcome big issues:

There is great potential for digital technologies to improve health and medical care. Out of necessity, digital health care will become a norm. Remote diagnostics and monitoring will be especially valuable for aging and rural populations that find it difficult to travel. Connected technologies will make it easier for specialized medical personnel to work together from across the country and around the world. Medical researchers will benefit from advances in digital data, tools and connections, collaborating in ways never before possible.

However, many digital technologies are taking more than they give. And what we are giving up is difficult, if not impossible, to get back. Todays digital spaces, populated by the personal data of people in the real world, is lightly regulated and freely exploited. Technologies like generative AI and cryptocurrency are costing us more in raw energy than they are returning in human benefit. Our digital lives are generating profit and power for people at the top of the pyramid without careful consideration of the shadows they cast below, shadows that could darken our collective future. If we want to see different outcomes in the coming years, we will need to rethink our ROI [return on investment] calculations and apply broader, longer-term definitions of return. We are beginning to see more companies heading in this direction, led by people who arent prepared to sacrifice entire societies for shareholders profits, but these are not yet the most-powerful forces. Power must shift and priorities must change.

Here is a small selection of responses that touch on the themes related to menaces and harms that could happen between now and 2035.

My best hope is that human wisdom and willingness to act will not lag so much that they are unable to respond effectively to the worst of the new challenges accompanying innovation in digital life. The worst likely outcome is that humans will develop too much trust and faith in the utility of the applications of digital life and become ever more confused between what they want and what they need. The result will be that societal actors with greater power than others will use the new applications to increase these power differentials for their own advantage. The most beneficial change in digital life might simply be that things dont get much worse than they are now with respect to pollution in and corruption of the information environment. Applications such as ChatGPT will get better without question, but the ability of humans to use such applications wisely will lag.

The following potential harmful outcomes are possible if trendlines continue as they have been to this point:

I worry that humanity will largely accept the hyper-individualism and social and moral distance made possible by digital technology and assume that this is how society should function. I worry that our social and political divisions will grow wider if we continue to invest ourselves personally and institutionally in the false efficiencies and false democracies of Twitter-like social media.

There are organizations today that profit from being perceived as merchants of truth. The judicial system is based on the idea that the truth can be established through an impartial and fair hearing of evidence and arguments. Historically, we have trusted those actors and their expertise in verifying information. As we transition to building trust into digital media files through techniques like authentication-at-source and blockchain ledgers that provide an audit trail of how a file has been altered over time, there may be attempts to use regulation to limit how we can cryptographically establish the authenticity and provenance of digital media. More online regulation is inevitable given the importance of the Internet economically and socially and the likelihood that digital media will increasingly be used as evidence in legal proceedings. But will we get the regulation right? Will we regulate digital media in a way that builds trust, or will we create convoluted, expensive authentication techniques that increase the cost of justice?

The concentration of ad revenue and the lack of a viable alternative source of income will further diminish the reach and capabilities of local news media in many countries, degrading the information ecosystem. This will increase polarization, facilitate government corruption and reduce citizen engagement.

Synthetic humans and robot friends may increase our social isolation. The demise of the office or a school campus as a gathering place will leave us hungry for human companionship and may cause us to lose our most-human skills: empathy and compassion. We become man and his machine rather than man and his society. The consumerization of AI will augment, if not replace, most of the white-collar jobs, including in traditional office work, advertising and marketing, writing and programming. Since work wont be a thing anymore, well need to find some means of compensation for our contribution to humanity. How much we contribute to the web? A Universal Basic Income because we were the ones who taught AI to do our jobs? It remains to be seen, but the AI Revolution will be as huge as the Industrial Revolution.

Higher education will face a crisis like never before. Exorbitant pricing and lack of parity with the real world makes college seem quite antiquated. Im wagering that 50% of higher education in the United States will be forced to close down. We will devise other systems of degrees and badges to prove competency. The most critical metaverse will be a digital twin of everything cities, schools and factories, for example. These twins coupled with IoT [Internet of Things] devices will make it possible to create simulations, inferences and prototypes for knowing how to optimize for efficiency before ever building a single thing.

I am particularly concerned about the increasing surveillance associated with digital content and tools. Unfortunately, there seems to be a counterincentive for governments to legislate for privacy, since they are often either the ones doing the surveilling, or they consume the information collected by others. As the public realizes more and more about the ways they are watched, it is likely to affect their behavior and mental state.

Human rights will become an oxymoron. Censorship, social credit and around-the-clock surveillance will become ubiquitous worldwide; there is nowhere to hide from global dictatorship. Human governance will fall into the hands of a few unelected dictators. Human knowledge will wane and there will be a growing idiocracy due to the publics digital brainwashing and the snowballing of unreliable, misleading, false information. Science will be hijacked and only serve the interests of the dictator class. In this setting, human health and well-being is reserved for the privileged few; for the majority, it is completely unconsidered. Implanted chips constantly track the health of the general public, and when they become a social burden, their lives are terminated.

Several main themes also emerged among these experts expectations for the best and most beneficial changes in digital life between 2023 and 2035. Here is a small selection of responses that touch on those themes.

A human-centered approach to technology development is driven by deep understanding of human needs, which leads to design-thinking strategies that bring successful products and services. Human-centered user interface design guidelines, principles and theories will enable future designers to create astonishing applications that facilitate communication, improve well-being, promote business activities and much more. Building tools that give users superpowers is what brought users email, the web, search engines, digital cameras and mobile devices. Future superpowers could enable reduction of disinformation, greater security/privacy and improved social connectedness. This could be the Golden Age of Collaboration, with remarkable global projects such as developing COVID-19 vaccine in 42 days. The future could be made brighter if similar efforts were devoted to fighting climate change, restoring the environment, reducing inequality and supporting the 17 UN Sustainable Development Goals. Equitable and universal access to technology could improve the lives of many, including those users with disabilities. The challenge will be to ensure human control, while increasing the level of automation.

We will see a proliferation of AI systems to help with medical diagnosis and research. This may cover a wide range of applications, such as: expert systems to detect breast cancer or other X-ray/imaging analysis; protein folding, etc., and discovery of new drugs; better analytics on drug and other testing; limited initial consultation for doing diagnosis at medical visits. Similar improvements will be seen in many other fields, for instance, astronomical data-analysis tools.

I continue to be hopeful that new platforms and tech will find ways around the totalitarian capitalist systems we live in, allowing us to connect with each other on fundamentally human levels. My own first love of the internet was finding out that I wasnt alone in how I felt or in the things I liked and finding community in those things. Even though many of those protocols and platforms have been co-opted in service of profit-making, developers continue to find brilliant paths of opening up human connection in surprising ways. Im also hopeful the current trend of hyper-capitalistic tech driving people back to more fundamental forms of internet communication will continue. Email as a protocol has been around for how long? And its still, as much as we complain about its limitations, a main way we connect.

Among the developments well see come along well are self-driving cars, which will reduce congestion, carbon emissions and road accidents. Automated drug discovery will revolutionize the use of pharmaceuticals. This will be particularly beneficial where speed or diversity of development is crucial, as in cancer, rare diseases and antibiotic resistance. We will start to see platforms for political news, debate and decision-making that are designed to bring out the best of us, through sophisticated combinations of human and automated moderation. AI assistants will be able to write sophisticated, well-cited research briefs on any topic. Essentially, most people will have access to instant-specialist literature reviews.

Human-centered development of digital tools can profoundly impact the way we work and learn. Specifically, by coupling digital phenotypes (i.e., real-time, moment-by-moment quantification of the individual-level human phenotype, in situ, using data from personal digital devices, in particular smartphones) with digital twins (i.e., digital representation of an intended or actual real-world physical product, system or process), it will be possible to optimize both human and system performance and well-being. Through this symbiosis, interactions between humans and systems can be adapted in real-time to ensure the system gets what it needs (e.g., predicted maintenance) and the human can get what it needs (e.g., guided stress-reducing mechanisms), thereby realizing truly transformational gains in the enterprise.

The greatest benefit related to the digital world is that technology will allow people to have access to equal opportunities both in the world of work and in culture, allowing them to discover other places, travel, study, share and enjoy spending time in real-life experiences.

Direct human connections will continue to grow over the next decade-plus, with more local community-building and not as many global or regional or national divisions. People will have more time and a more sophisticated appreciation for the benefits and limits of technology. While increased electrification will result in ubiquity of digital technology, people will use it more seamlessly, not being online or offline. Having been through a dark period of transition, a sensibility around human rights will emerge in places where human rights are currently protected and will find itself under greater protection in many more places, not necessarily under the umbrella term of human rights.

Artificial Intelligence is poised to greatly improve human well-being by providing assistance in processing information and enhancing daily life. From digital assistants for the elderly to productivity tools for content creation and disinformation detection, to health and hygiene innovations such as AI-powered gadgets, AI technology is set to bring about unprecedented advancements in various aspects of our lives. These advances will not only improve our daily routines but also bring about a new level of convenience and efficiency that has not been seen for centuries. With the help of AI, even the most mundane tasks such as brushing teeth or cutting hair can be done with little to no effort and concern, dramatically changing the way we have struggled for centuries.

We will learn new ways in which humans and AIs can collaborate. Humans will remain the center of the situation. That doesnt mean that they will always be in control, but they will always control when and how they delegate selected activities to one or more AIs.

Digital and immersive technologies and artificial intelligence will continue to exponentially transform human connections and knowledge across the domains of work, entertainment and social engagement. By 2035, the transition of talent acquisition, onboarding, learning and development, performance management and immersive remote work experiences into the metaverse enabled by Web3 technologies will be normalized and optimized. Work, as we know it, will be absolutely transformed. If crafted and executed ethically, responsibly and through a human-centered lens, transitioning work into the metaverse can be beneficial to workers by virtue of increased flexibility, creativity and inclusion. Additionally, by 2035, generative artificial intelligence (GAI) will be fully integrated across the employee experience to enhance and direct knowledge acquisition, decision-making, personalized learning, performance development, engagement and retention.

I hope to see the rise of the systematic organization of citizen education on digital literacy with a strong focus on information literacy. This should start in the earliest years and carry forward through life. I hope to see the prioritization of the ethics component (including bias evaluation) in the assessment of any digital system. I hope to see the emergence of innovative business models for digital systems that are NOT based on advertising revenue, and I hope that we will find a way to give credit to the real value of information.

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As AI Spreads, Experts Predict the Best and Worst Changes in ... - Pew Research Center

How to future-proof your digital presence in the era of AI-powered … – Search Engine Land

Artificial intelligence (AI) is a well-known technology in SEO, as its been used by Google for years to power its search engine.

Recently, major companies like Google, Bing, Adobe, Meta, and Apple have recognized the changing consumer behavior and started embracing AI as a central focus.

AI and machine learning (ML) now play a vital role in their core product offerings.

This article covers tips for safeguarding your digital presence in the face of AIs rapid evolution.

AI has revolutionized consumer-business interactions, providing a smooth experience and transforming how customers engage with companies.

As search engines evolve into answer engines, it becomes crucial to comprehend customer needs, journeys, and expected search behaviors across all channels.

To future-proof your digital presence, you must deliver the experience your customers seek.

While AI will change how we do things in the future, the human element is still needed for the final output and quality.

Here are some use cases of AI in search marketing.

Get the daily newsletter search marketers rely on.

As we explore the many incredible applications of AI, we must also understand what it takes to future-proof our digital presence.

A future-looking strategy involves understanding where large language models (LLMs) get their data and whether we can populate them where relevant.

This relates to discoverability. If the answers come from certain repositories, ensuring you are in them may make sense.

Brands need to start thinking about what users want to know about the business rather than providing information about themselves.

Focus on fully optimizing your digital presence with images, reviews, products, schema, and Google Business Profile (GBP) categories.

A short video is also increasingly crucial because video, reviews, images, and GBP are prioritized in local pack results.

Similarly, helpful and relevant localized content with high authority for the time being can help maintain SERP visibility and remain vigilant about the evolving SERP.

Google is prioritizing informational, navigational, local, and nearby search queries to generate search generative experience (SGE) results across all types of searches, including organic, local/maps, images, news, videos, events, and conversation/voice search (how-to content and FAQs).

SGE results quickly surfaced if informational content from the brand domain is easily discovered and has high engagement and relevancy to the query.

The SERP results below show how easily discovered information-rich content is doing well.

Here are tips to future-proof your digital presence and establish a rock-solid plan to stay ahead as a business.

Ensure your content is created by keeping an entity-first strategy in mind.

I have written several articles about what entity search is, why it is topical, your competitive advantage, how it works, and the steps to deploy.

Ensure all types of content, such as images, videos, FAQs, etc. use proper schema architecture.

Your CMS, technical infrastructure, server and website architecture, and hosting environment should allow easy content discovery.

The site structure should be relatively flat and connect similar topics and subtopics through navigation.

Images, how-to content, web stories, recipes, knowledge graphs, FAQs, videos, maps, and events take up a portion of SERPs in SGE.

Let's ensure the content we create includes these and that schemas are properly nested for easy discovery.

As Google prioritizes mobile indexing over desktop indexing, it is essential to have a strategy to saturate mobile SERPs.

This includes using web stories, having a responsive mobile site that quickly loads on mobile devices, providing a seamless experience across various screen sizes and browsers, and delivering a secure and safe website.

To optimize images for quality, relevancy and experience, centralize all your assets (images, video, PDFs) using cloud storage and use AI/LLM models to rate the most critical metrics.

Ensure all your assets are surfaced right from a central place. Put lifestyle graphics in noindex folders to avoid wasting the crawl budget.

Only the most relevant qualitative image with entity data must be discoverable.

As AI becomes front and center, it is about saturating SERPs, zero clicks, impressions, time on the site, and reduction in bouse rate.

Other qualitative metrics will be site speed, time spent on the site, click and interactions with various assets and features on the website.

Leverage customer data and analytics to personalize user experience.

Personalization enhances user engagement, conversion rates, and overall customer satisfaction. It ultimately increases your authority and trust factor.

Search marketers must harness skills to use AI effectively.

Future-proofing your digital presence means enabling your team with the right tools and skills to create a strategic plan, incorporate AI, and understand the customer journey and the channels to leverage data to personalize the experience.

Opinions expressed in this article are those of the guest author and not necessarily Search Engine Land. Staff authors are listed here.

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How to future-proof your digital presence in the era of AI-powered ... - Search Engine Land

Schumer says lawmakers starting from scratch on AI regulation – The Hill

Senate Majority Leader Chuck Schumer (D-N.Y.) said lawmakers will be “starting from scratch” on figuring out how to regulate the new wave of artificial intelligence (AI) in the U.S. 

In a speech during a Center for Strategic & International Studies (CSIS) event Tuesday, Schumer said lawmakers have no choice but to acknowledge the coming changes with AI, noting that many “want to ignore” necessary regulations due to the complexity of the new technology. 

“AI is unlike anything Congress has dealt with before,” Schumer said in his speech. 

“It’s not like labor or health care or defense, where Congress has a long history we can work off of,” he added. “Experts are not even sure which questions policymakers should be asking. In many ways, we’re starting from scratch.” 

Schumer added in his speech that Congress is up for the challenge to address AI usage in the country, noting a list of legislation that has passed in Congress in the last two years under his leadership. 

“Don’t count Congress out,” he quipped.

The New York senator said he plans to reveal the framework of his SAFE Innovation Act on Wednesday — a bill meant to protect, expand and harness the potential of the new technology. 

Lawmakers’ interest in AI comes as other companies have introduced services this year implementing the technology. Microsoft announced earlier this year that its new premium messaging service, Teams Premium, will be powered by Open AI’s ChatGPT program.

ChatGPT — a free tool launched in November — automatically generates humanlike responses to users’ queries in a way that is more advanced than previous technology. President Biden traveled to San Francisco to meet with AI experts and researchers Tuesday to discuss managing the risk of the new technology.

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Schumer says lawmakers starting from scratch on AI regulation - The Hill

AI can make healthcare more accurate, accessible, and sustainable – World Economic Forum

Emerging technologies such as artificial intelligence (AI) and machine learning are transforming nearly all industries, among them the healthcare industry, which accounts for 11% of global GDP or $9 trillion annually. From the development of drugs and vaccines, to improving medical diagnosis and treatment, such technologies are being used in all stages of the value chain, boosting efficiencies across the overall healthcare system.

As the World Economic Forum launches the 2023 cohort of Technology Pioneers, we asked the six selectees how such emerging technologies are changing global health outcomes. Here is what they said:

Riddhiman Das, Chief Executive Officer, Tripleblind

Emerging technologies like AI and machine learning will revolutionize global health outcomes. These advancements can improve medical diagnosis, treatment and healthcare delivery. AI algorithms can catalyse the rapid analysis of health data, leading to precise diagnoses and timely interventions. Predictive models powered by AI can detect patterns and trends, aiding disease prevention and personalized treatment plans.

However, prioritizing privacy and security are essential. All AI/machine learning solutions must uphold stringent privacy standards, safeguarding patient data and confidentiality. When combined with privacy-enhancing technologies, integrating AI and machine learning in healthcare holds immense promise. Responsible use, coupled with privacy protection, can transform global health, enhance patient care and bridge healthcare gaps for a healthier, more equitable world.

Logan Kim, Chief Executive Officer, Nuvilab

AI is having a major impact on global health, where personalized data is becoming increasingly important for preventive medicine and precision health.

AI can be used to improve productivity and efficiency by automating tasks, such as diet recording. It can also innovate the user experience by providing personalized insights and solutions. For example, Nuvilabs AI technology can be used to analyse dietary habits and provide reports on the nutritional intake rate of each menu on personal mobile devices. Patients with chronic diseases, growing children and seniors in care facilities are especially in need of such a solution.

Diet recording in the healthcare industry is commonly operated by the 24-hour recall method, which is quite subjective and has a limited sample size. AI can be used to improve the accuracy and objectivity of diet recording, as well as lower costs. This will make AI a game changer in the field of nutrition and precision health.

AI technology is expected to bring about an innovation in diet recording, and personalized data accumulation will be possible beyond the limitations of the existing diet data. This will open up new insights and provide better outcomes in the global health landscape.

Andrs Lawson, Chief Executive Officer, Osana

In the face of complex and pressing global health problems, emerging technologies like AI and machine learning are transformative forces poised to make healthcare more accurate, accessible and economically sustainable.

AI and automation provide operating leverage for healthcare institutions, enhancing efficiency and improving outcomes. They can potentially transform healthcare delivery, increasing the supply and scalability of healthcare professionals. For instance, AI algorithms can analyse medical imaging data to identify early signs of diseases like cancer, often with greater accuracy than human doctors and at a lower cost. This allows for earlier, more effective treatment, potentially saving millions of lives.

However, it is essential to exercise forethought to guard against unintended consequences, which means adopting a safety-first, human-first approach in the development and deployment of these models. Technical challenges like privacy, bias and reliability must be intentionally addressed. Collaboration with key ecosystem stakeholders to certify models and develop governance frameworks for Responsible Healthcare General Intelligence is vital.

As we stand on the brink of this exciting new frontier, the vision of a healthier world, buoyed by AI and machine learning, is within our grasp. These technologies hold the promise of a transformative leap in our global health landscape, enabling us to counter medical challenges with unprecedented agility and accuracy. By harnessing AI and machine learning judiciously and responsibly, we can sculpt a future where quality healthcare is not a privilege for the few but a fundamental right for all.

Alicia Chong, Chief Executive Officer, Bloomer Health Tech

The convergence of continuous physiological data on lifestyle and environment is quickly leading to deep phenotyping. By combining this with the power of genomics, machine learning and AI will take healthcare to the next level.

At Bloomer Tech weve focused on understanding the cardiovascular system in women specifically, because even with over 30 years of evidence on sex differences, women continue to be harder to diagnose and treat, and consistently experience worse outcomes. Using AI to generate new digital biomarkers will transform this field and impact global health results, particularly for diseases and conditions that affect women disproportionately, differently and even uniquely.

Inspired by the technological transformation that resulted when we transitioned from the limitations of only being able to view photos through chemical processes and film, to enabling accessible, unlimited photos through compact, easy-to-use digital cameras, we are moving in the right direction.

We are pushing to move from existing, valuable though limited biomarkers that can only be viewed via chemical processes in labs, towards using AI trained with reliable data, continuously collected from everyday garments like women's bras.

The impact of ubiquitous access to data will be huge. Being able to read and examine the data when it's needed most instead of just starting a series of tests when it may already be too late will significantly impact peoples health across the world, allowing for proactive and preemptive care.

Daniella Gilboa, Chief Executive Officer, AIVF

IVF has revolutionized reproductive care, but it is highly dependent on expertise and experience. The most crucial dilemma in IVF is which embryo has the highest chances of becoming a healthy baby. Embryo evaluation done by experts is based on subjective human analysis.

Lets leap to the future and consider the alternative: a machine that generates new understanding of developmental milestones, recognizing features that cannot be seen by the human eye, incorporating data from different sources, providing an outcome thats more accurate than any human embryologist. A personalized treatment. This is the time for computational embryology, letting the machines do what we cannot and working together as a team. Alan Turing talked about machine vs. human. At AIVF we talk about a human-machine team. Lets team up with our AI models to do better medicine, to provide better care, to lower barriers of entry, and to allow everyone better access to the best care possible.

The application of precision medicine to save and improve lives relies on good-quality, easily-accessible data on everything from our DNA to lifestyle and environmental factors. The opposite to a one-size-fits-all healthcare system, it has vast, untapped potential to transform the treatment and prediction of rare diseasesand disease in general.

But there is no global governance framework for such data and no common data portal. This is a problem that contributes to the premature deaths of hundreds of millions of rare-disease patients worldwide.

The World Economic Forums Breaking Barriers to Health Data Governance initiative is focused on creating, testing and growing a framework to support effective and responsible access across borders to sensitive health data for the treatment and diagnosis of rare diseases.

The data will be shared via a federated data system: a decentralized approach that allows different institutions to access each others data without that data ever leaving the organization it originated from. This is done via an application programming interface and strikes a balance between simply pooling data (posing security concerns) and limiting access completely.

The project is a collaboration between entities in the UK (Genomics England), Australia (Australian Genomics Health Alliance), Canada (Genomics4RD), and the US (Intermountain Healthcare).

A year ago, a miracle happened that changed IVF history. An IVF clinic reported the birth of the first IVF baby following embryonic evaluation and selection by an AI model. Its not a dream anymore its here to stay and we should embrace it.

Alok Anil, Founder and CEO / Managing Director, Next Big Innovation Labs

The global health ecosystem is rapidly transitioning towards a personalized medicine-focused, outcome-based industry. Rapidly evolving biological threats like the recent COVID-19 pandemic highlight how a major overhaul is required in healthcare and pharmaceutical R&D. Emerging AI techniques can help process large data sets that pharma and healthcare industries have been capturing, and by building case-specific machine learning algorithms to streamline labour intensive processes, governments and companies save research dollars and time, while bringing efficiency to R&D processes.

MedTech devices such as 3D bioprinters with smart AI chips powering these machines to work round the clock and produce tissues on-demand could soon be the new normal towards bioprinting in tough environments like space. Pharmaceutical drug development cycles are becoming more efficient with the use of AI in early-stage drug development studies, moving towards fast-tracking to market critical lifesaving drugs that are under development.

The US Food and Drug Administration has announced its new modernization act 2.0, which enables the pharmaceutical industry to consider cell-based assays (like 3D bio-printed tissues) and computer models (like AI and machine learning-based approaches) to test for the safety and effectiveness of a drug a big push towards building stakeholder confidence in these emerging technologies.

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AI can make healthcare more accurate, accessible, and sustainable - World Economic Forum

AI that uses sketches to detect objects within an image could boost … – Science Daily

Teaching machine learning tools to detect specific objects in a specific image and discount others is a "game-changer" that could lead to advancements in cancer detection, according to leading researchers from the University of Surrey.

Surrey is set to present its unique sketch-based object detection tool at this year's Computer Vision, Pattern, and Recognition Conference (CVPR). The tool allows the user to sketch an object, which the AI will use as a basis to search within an image to find something that matches the sketch -- while discounting more general options.

Professor Yi-Zhe Song, leads this research at the University of Surrey's Institute for People-Centred AI. He commented:

"An artist's sketch is full of individual cues that words cannot convey concisely, reiterating the phrase 'a picture paints a thousand words'. For newer AI systems, simple descriptive words help to generate images, but none can express the individualism of the user or the exact match the user is looking for.

"This is where our sketch-based tool comes into play. AI is instructed by the artist via sketches to find an exact object and discount others. Which can be amazingly helpful in medicine, by finding more aggressive tumours, or helping to protect wildlife conservation by detecting rare animals."

An example that researchers use in their paper to the conference is of the tool helping to search a picture full of zebras -- with only a sketch of a single zebra eating to direct its search. The AI tool takes visual cues into account, such as pose and structure, but bases the decisions off the exact requirements given by the amateur artist.

Professor Song continued:

"The ability for AI to detect objects based on individual amateur sketches introduces a significant leap in harnessing human creativity in Computer Vision. It allows humans to interact with AI from a whole different perspective, no longer letting AI dictate the decisions, but asking it to behave exactly as instructed, keeping necessary human intervention."

This research will be presented at the Computer Vision, Pattern, and Recognition Conference (CVPR) 2023 which showcases world-leading AI research on a global stage. The University of Surrey sees an exceptional number of papers accepted to the CVPR 2023, far above other educational institutions, with over 18 papers accepted and one nominated for the Best Paper Award.

The University of Surrey is a research-intensive university, producing world-leading research and delivering innovation in teaching to transform lives and change the world for the better. The University of Surrey's Institute for People-Centred AI combines over 30 years of technical excellence in the field of machine learning with multi-disciplinary research to answer the technical, ethical and governance questions that will enable the future of AI to be truly people-centred. A focus on research that makes a difference to the world has contributed to Surrey being ranked 55th in the world in the Times Higher Education (THE) University Impact Rankings 2022, which assesses more than 1,400 universities' performance against the United Nations' Sustainable Development Goals (SDGs).

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AI that uses sketches to detect objects within an image could boost ... - Science Daily