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AI is not going to replace physicians, but physicians who use AI will replace those who don't.

MIAMI, Oct. 18, 2022 /PRNewswire/ --The new book "How AI Can Democratize Healthcare" by Michael Ferro and Robin Farmanfarmaian dives into the cutting edge of technology moving care from the clinic to where the patient is located, including their home, office, or even traveling. Predictive software, AI voice technology, and digital therapeutics are just some of the innovations detailed in this provocative new title that will shape tomorrow's future today.

Whether people are sick or well, AI-based software programs can monitor conditions in a real-world environment and can be a daily presence in someone's life, delivering personalized interventions precisely when needed. The incremental cost to provide an AI software program to each additional person is negligible so it can scale quickly, and has no geographical boundaries, making worldwide adoption almost effortless.

New ways to improve patient outcomes are in high demand and the major healthcare stakeholders are innovating to bring much needed improvements. AI advancements across Vocal Biomarkers, Remote Patient Monitoring, Digital Therapeutics, Voice Recognition, Decision Support Tools, Virtual Reality, and Predictive Care are converging together to create Ambient Healthcare Computing: the ever-present healthcare assistant that monitors, analyzes, and provides the right interventions to the right person at the right time.

Simply put, AI is revolutionizing the Where, When, What, and How people access healthcare. Legacy systems composed of trained healthcare professionals and physical clinics are a limited and expensive resource. With location removed from the equation, shifting care to the point of the patient increases access and affordability, in effect democratizing healthcare. Further, the negligible incremental cost to provide an AI-based software program per person makes AI infinitely scalable and accessible.

About the Authors:

Healthcare tech entrepreneur and author Michael Ferro is the Founder and CEO Merrick Ventures, a Miami-based PE Firm focused on AI and democratizing healthcare. Michael has built multiple companies that he took public or were acquired for over $1B, including Merge Healthcare and Click Commerce. With the Michael and Jacqueline Ferro Foundation, he has donated millions, including $2M to Northwestern for entrepreneurship and $1M to theMelanoma Research Alliance(MRA). Ferro has won more than 15 awards, including Forbes Tech's 100 Highest Rollers, the Technology Entrepreneur of the Year from Ernst & Young, and was a Nominee for an Emmy Award for Best Documentary.

Professional speaker and entrepreneur Robin Farmanfarmaian has given over 180 talks in 15 countries on technology in healthcare. As an entrepreneur, she has worked with over 20 companies in pharma, device, and AI focused on major diseases including oncology, neuro, diabetes, and more. A misdiagnosis as a teenager led to 43 hospitalizations, six major surgeries, and multiple organs removed. At age 26, Robin fired her healthcare team and took control of her health, including taking herself off high dose opioids. She rebuilt her care team, was diagnosed correctly, and went into remission overnight with the right medication. "How AI Can Democratize Healthcare" is a followup book to Robin's 2015 book, "The Patient as CEO: How Tech Empowers the Healthcare Consumer."

Advance Praise for "How AI Can Democratize Healthcare"

"Artificial Intelligence is going to very rapidly transform medicine, along with ubiquitous cameras and all kinds of sensors. If you want to understand this disruption to our healthcare, Michael and Robin will explain how this will impact you as well as positively impacting billions of lives." Ray Kurzweil, inventor, author, and futurist

"How AI Can Democratize Healthcare'' by Michael Ferro and Robin Farmanfarmaian is easy to read and chock-full of great examples of startups in healthcare AI. We're in the first inning of AI in healthcare, and this book points to a very exciting future. Congratulations on a great book!" John E. Kelly III, PhD, IBM EVP - Retired

"There is overwhelming complexity at the intersection of artificial intelligence, medical technology, human factors and regulatory context. There are almost too many new health care products, services and companies to sort through. Thankfully, How AI Can Democratize Healthcare gives us the old-fashioned sort of intelligence enhancement, clear prose, that makes our collective future both understandable and optimistic. A must read for citizens, investors and policy-makers alike." Bing Gordon, General Partner & Chief Product Officer, Kleiner Perkins

SOURCE Robin Farmanfarmaian

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New Book Heralds a New Era in Healthcare with Artificial Intelligence Already Transforming the Patient Experience - PR Newswire

In an earlier article I wondered whether a computer would ever be able to write an article that was so good that it would be difficult to tell it apart from a human-written article. That time might have already come.

In 2020 The Guardian published an article that had been written by AI. It was about the increasing use of AI in journalism, and how it is changing the landscape of the industry. It discussed how AI is being used to generate news stories, and how it is being used to help reporters with their work. It was so natural that it was hard to believe that it was written by a software called GPT-3 developed by OpenAI, a research company.

The Guardian isnt the only news organization using algorithms to write articles. The Associated Press has been using an algorithm to write short articles about company earnings reports for the past few years. In 2015, Forbes started using an algorithm to write short articles about public companies. That said, some news organizations are hesitant to use algorithms to write articles because they worry that the articles will lack the human touch that readers crave. But as algorithms become more sophisticated, that is unlikely to be a problem for much longer.

Journalists have always relied on their own skills and knowledge to produce articles but with the advent of artificial intelligence, journalists will need to up their game in order to stay relevant in the future. Some believe that this will lead to the demise of journalism as we know it. Others argue that it will lead to a more efficient and effective form of journalism.

If artificial intelligence can have such an impact on journalism can you imagine what it will do to professions like law. In some areas the impact of artificial intelligence is already being felt. For example, law firms already use AI to help with the discovery process in litigation, and to automate the drafting of simple documents like contracts. In the future, AI may be used to help with more complex tasks, such as analysing large amounts of data to predict the outcome of a case, or providing expert advice on specific legal issues.

For artificial intelligence to be used to provide legal advice that can be used in court, its not just a question of whether the technology is good enough but whether it can be trusted. Its not just about whether the technology is accurate but if it is biased.

There is a long history of artificial intelligence being used in ways that are racist and sexist," said Meredith Broussard, a professor of data and journalism at the Arthur L. Carter Journalism Institute at New York University and the author of Artificial Unintelligence: How Computers Misunderstand the World. If you train an artificial intelligence system on data that is racist and sexist, the artificial intelligence system is going to be racist and sexist," she said. For example, an artificial intelligence system that is trained on data from arrest records is going to be biased against people of colour because they are more likely to be arrested than white people. And an artificial intelligence system that is trained on data from job applications is going to be biased against women because they are more likely to be unemployed than men.

That said, there is a lot of talk about the potential of artificial intelligence to transform the practice of law. One of the most promising applications is to use it to analyse large amounts of data and identify patterns that human lawyers might not be able to see. For example, if a lawyer is trying to determine whether a client is likely to default on a loan, AI could help to identify patterns in the clients behaviour that may indicate that they are at risk of defaulting.

Another potential benefit of AI is that it could help lawyers to improve their communication with clients by helping lawyers to understand the emotions and intentions of their clients. For example, if a lawyer is trying to persuade a client to accept a settlement offer, AI could help to identify the clients emotional state to see whether they are likely to be receptive to the offer. This information could then be used to help the lawyer to tailor their communication appropriately.

In the end, AI is a tool and can never replace humans. What it can do is make us more efficient. Isnt that what we all want?

If you have read till here, and remain sceptical of what AI can do, what would you say if I told you that, barring some light editing for context and continuity, everything in this article right up to the preceding paragraph was generated by an AI-based writing software? Other than a few prompts I provided to nudge the article in different directions, every single idea, all the research and even the manner in which it was presented was generated out of OpenAIs GPT-3 algorithm.

If all this seems impressive, we are just scratching at the surface of what AI can achieve. Even in the few short hours it took me to produce this piece, I could see myself getting better at making the software do exactly what I wanted it to. With practice, I have no doubt that we (the software and I) will produce content that is indistinguishable from anything I could have come up with on my own. And in a fraction of the time.

At the same time, we must recognize the current generations of technologies for what they aretools that will help us be more efficient at what we do. As good as they are, these AI algorithms are still no substitute for human intelligence and creativity.

Rahul Matthan is a partner at Trilegal and also has a podcast by the name Ex Machina. His Twitter handle is @matthan

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Artificial intelligence has begun to exceed expectations | Mint - Mint

AI's future is commercial.

In line with a rocky and uncertain economic climate, the pace of investments flowing into the red-hot artificial intelligence technology space has cooled somewhat this past year. Things are still red hot, however, and AI is seeing a lot of progress, mitigated by concerns over safety and responsibility. Interestingly, much of its development has moved out of labs and into commercial ventures.

These are the conclusions drawn by two leading venture capitalists in the tech space, Nathan Benaich of Air Street Capital and Ian Hogarth of Plural, outlined in their annual summary of the state of AI. The report covers all facets of AI, from developments with DeepMind to NVIDIAs rapidly expanding processing capabilities. There are also numerous implications for AI from a business perspective.

For starters, it turns out that 2021 was a banner year for the AI business sector, but then softened in 2022. In 2022, investment in startups using AI has slowed down along with the broader market. Private companies using AI are expected to raise 36% less money in 2022 versus the previous year, but are still on track to exceed the 2020 level. This is comparable with the investment in all startups and scaleups worldwide, they observe. In addition, they note, enterprise software is the most invested category globally, while robotics captures the largest share of VC investment into AI.

At the same time, there has been a softening, though less extreme, for investments in SaaS startups and scaleups using AI expected to reach $41.5 billion by the end of the year, down 33% from last year. This is still higher than in 2020 VC investment in AI SaaS startups and scaleups.

Significantly, the reports co-authors observe, there has also been a drying up of academic research in AI as multi-year project funding concludes, with much of the research now shifted to the commercial sector. That means more startups and scaleups on the horizon. Once considered untouchable, talent from Tier 1 AI labs is breaking loose and becoming entrepreneurial, Benaich and Hogarth state. Alums are working on AGI, AI safety, biotech, fintech, energy, dev tools and robotics.

They add that hiring freezes and the disbanding of AI labs precipitates the formation of many startups from giants including DeepMind and OpenAI. Even the large tech behemoths are seeing some loss of talent to startups. Meta, for example, is folding their centralized AI research group after letting it run free from product roadmap pressure for almost 10 years. In addition, all but one author of the landmark paper that introduced transformer-based neural networks have left Google to build their own startups in artificial general intelligence, conversational agents, AI first biotech and blockchain, they note. For example, they relate, AnthropC raised $580 million in 2022, Inflection raised $225 million, and co:here raised $125 million.

Worldwide Investment in Startups and Scaleups Using AI:

Benaich and Hogarth also looked at the prevalence of AI unicorns emerging across nations of the world. concluding the United States leads in these high-potential startups, followed by China and the United Kingdom. A total 292 AI unicorns emerged within the US in 2022, with a combined enterprise value of $4.6 trillion. Overall, they add, despite significant drop in investment in US based startups and scaleups using AI, they still account for more than half of the AI investment worldwide.

Also in 2022, the big tech companies continued to expand their AI clouds and form large partnerships with AI startups, Benaich and Hogarth state. The hyperscalers and challenger AI compute providers are tallying up major AI compute partnerships, notably Microsofts $1 billion investment into OpenAI. We expect more to come.

For the year ahead, Benaich and Hogarth predict more than $100 million will be invested in dedicated AI-alignment organizations in the next year as more people become aware of the risk we are facing by letting AI capabilities run ahead of safety. In addition, they predict that a major user-generated content side will negotiate a commercial settlement with a startup producing AI models (such as OpenAI) for training on their corpus of user generated content.

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Pace Of Artificial Intelligence Investments Slows, But AI Is Still Hotter Than Ever - Forbes

Artificial intelligence (Al) is increasingly having an impact on education, bringing opportunities as well as numerous challenges.

These observations were noted by the Council of Europes Committee of Ministers in 2019 and led to the commissioning of this report, which sets out to examine the connections between Al and education (AI&ED).

In particular, the report presents an overview of AI&ED seen through the lens of the Council of Europe values of human rights, democracy and the rule of law; and it provides a critical analysis of the academic evidence and the myths and hype.

The Covid-19 pandemic school shutdowns triggered a rushed adoption of educational technology, which increasingly includes AI-assisted classrooms tools (AIED).

This AIED, which by definition is designed to influence child development, also impacts on critical issues such as privacy, agency and human dignity all of which are yet to be fully explored and addressed.

But AI&ED is not only about teaching and learning with AI, but also teaching and learning about AI (AI literacy), addressing both the technological dimension and the often-forgotten human dimension of AI.

The report concludes with a provisional needs analysis the aim being to stimulate further critical debate by the Council of Europes member states and other stakeholders and to ensure that education systems respond both proactively and effectively to the numerous opportunities and challenges introduced by AI&ED.

Download the provisional edition of thispublication

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New ISBN publication - ARTIFICIAL INTELLIGENCE AND EDUCATION - Council of Europe

With great power comes great responsibility.

As artificial intelligence continues to gain traction, there has been a rising level of discussion about responsible AI (and, closely related, ethical AI). While AI is entrusted to carry more decision-making workloads, its still based on algorithms that respond to models and data, as I and my co-author Andy Thurai explain in a recent Harvard Business Review article. As a result, AI and often misses the big picture and most times cant analyze the decision with reasoning behind it. It certainly isnt ready to assume human qualities that emphasize empathy, ethics, and morality.

Is this a concern that is shared within the executive suites of companies deploying AI? Yes, a recent study of 1,000 executives published by MIT Sloan Management Review and Boston Consulting Group confirms. However, the study finds, while most executives agree that responsible AI is instrumental to mitigating technologys risks including issues of safety, bias, fairness, and privacy they acknowledged a failure to prioritize it. In other words, when it comes to AI, its damn the torpedoes and full speed ahead. However, more attention needs to paid to those torpedoes, which may take the form of lawsuits, regulations, and damaging decisions. At the same time, more adherence to responsible AI may deliver tangible business benefits.

While AI initiatives are surging, responsible AI is lagging, the MIT-BCG survey reports authors, Elizabeth M. Renieris, David Kiron, and Steven Mills, report. The gap increases the possibility of failure and exposes companies to regulatory, financial, and customer satisfaction risks.

Just about everyone sees the logic in making AI more responsible 84% believe that it should be a top management priority. About half of the executives surveyed, 52%, say their companies practice some level of responsible AI. However, only 25% reported that their organization has a fully mature program the remainder say their implementations are limited in scale and scope.

Confusion and lack of consensus over the meaning of responsible AI may be a limiting factor. Only 36% of respondents believe the term is used consistently throughout their organizations, the survey finds. The surveys authors define responsible AI as a framework with principles, policies, tools, and processes to ensure that AI systems are developed and operated in the service of good for individuals and society while still achieving transformative business impact.

Other factors inhibiting responsible AI include a lack of responsible AI expertise and talent training or knowledge among staff members (54%); lack of prioritization and attention by senior leaders (53%); and a lack of funding or resourcing for responsible AI initiatives (43%).

Renieris and her co-authors identified a segment of companies that are ahead of the curve with responsible AI, which tend to apply responsible conduct not to just AI, but across their entire suites of technologies, systems, and processes. For these leading companies, responsible AI is less about a particular technology than the company itself, they state.

These leading companies are also seeing pronounced business benefits as well as a result of this attitude. Benefits realized since implementing responsible AI initiatives: better products and services (cited by 50%), enhanced brand differentiation (48%), and accelerated innovation (43%).

The following are recommendations based on the experiences of companies taking the lead with responsible AI:

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Everyone Wants Responsible Artificial Intelligence, Few Have It Yet - Forbes