Mediaboss Marketing

Deloitte AI Institute executive director Beena Ammanath and C3.ai CEO Thomas Siebel discuss ChatGPT's risks and how it should be integrated into society on 'The Claman Countdown.'

Since the introduction of the artificial intelligence tool ChatGPT in November 2022, the new technology has displayed the power and potential that AI can have on our lives.

Open AI CEO Sam Altman, the company behind ChatGPT, admitted earlier this month that he was even "a little bit scared" of the powerful technology his company is developing. While Altman predicted that artificial intelligence "will eliminate a lot of current jobs," he has said the technology will be a net positive for humans because of the potential to transform industries like education.

But who is Sam Altman, and what is behind this new technology?

MARK CUBAN ISSUES DIRE WARING OVER CHATGPT

In this photo illustration, the welcome screen for the OpenAI "ChatGPT" app is displayed on a laptop screen on February 03, 2023 in London, England. (Leon Neal/Getty Images / Getty Images)

ChatGPT is an artificial intelligence chatbot whose core function is to mimic a human in conversation. Users across the world have used ChatGPT to write emails, debug computer programs, answer homework questions, play games, write stories and song lyrics, and much more.

"It is going to eliminate a lot of current jobs, thats true. We can make much better ones. The reason to develop AI at all, in terms of impact on our lives and improving our lives and upside, this will be the greatest technology humanity has yet developed," Altman said in a recent interview with ABC News. "The promise of this technology, one of the ones that I'm most excited about is the ability to provide individual learning great individual learning for each student."

Altman has made numerous business deals over the last several years, because of the potential of his company's technology.

In January, OpenAI expanded its partnership with Microsoft, who will add almost $10 billion in new capital to the company. Microsoft, as a result of the deal, will likely acquire a large chunk of the companys profits over the next several years (Microsoft previously invested $1 billion in OpenAI three years ago).

Furthermore, Microsoft is planning on implementing the tool into its existing ecosystem to be used in software like Microsoft PowerPoint, Excel and Teams.

Although the influx of cash has provided the company with more resources, it has reportedly divided its 300 some staffers and angered some in the field of AI, who believe the once humanitarian company is now primarily concerned with making a buck.

Dr. Mike Capps is the co-founder of Diveplane, an ethical AI company based in Raleigh, N.C. He was formerly president of Epic Games, the creators of Fortnite and Gears of War, for nearly a decade. He does not believe OpenAI would have been nearly as successful without that significant connection to Microsoft, but also expressed disappointment in some of the business decisions made by the ChatGPT creators.

"I feel a little bit like they sold their soul in order to speed things up, and they succeeded," he said.

Business moguls and AI researchers have also pointed to OpenAIs broken promise of turning ChatGPT open source, allowing businesses and computer scientists to manipulate and tailor the tool to their liking, as another sign of the companys increasingly profit-centric mindset.

"They swore up and down that they were going to give it all away because its the best way to handle this space, and now theyre not, theyre pulling things down, so you cant recreate their work. Its super frustrating," Capps added.

NASA Jet Propulsion Laboratory (JPL) Chief Technology and Innovation Officer Dr. Chris Mattmann told Fox News Digital that the trajectory of OpenAI directly mirrors the evolution of the Apache Software Foundation.

MUSK LOOKS TO BUILD CHATGPT ALTERNATIVE TO COMBAT WOKE AI: REPORT

CEO of OpenAI Sam Altman attends the annual Allen and Co. Sun Valley Media Conference in Sun Valley, Idaho, U.S., July 6, 2022. (REUTERS/Brendan McDermid / Reuters Photos)

Created in 1999, Apache started out as an American nonprofit corporation to support open-source software projects, but overtime became a sort of "toxic place" that abandoned many of its original altruistic intents to pursue commercial interests, according to Mattmann.

"Even in a meritocracy there are still political controls and committees. It works a lot like dark money in government. Its almost like the notion of dark money in tech," he said.

While their goals in the beginning largely revolved around data sharing agreements and scraping data for curation, the decision to take big donations created an inherent tension and pushed OpenAI into a situation where they had to work for the benefit of their investors.

"They dont release their model. I would even give Meta more credit for releasing Llama and allowing people to download it. You cant do that with OpenAI. You cant download their models. You have to pay to play and thats a lot different than what they said in the beginning," Mattmann added.

Earlier this year, OpenAI announced a waitlist for a commercial version of ChatGPT that will allow customers to sign up for a version of the bot that can be integrated into various product and businesses, for a fee.

While many technologies over the last two decades have seen fervent consumer interest, none have seen the type of rapid interest there is for ChatGPT.

"Remember how big mobile got? Its so much faster than that. Remember how big Twitter got, this is faster," Capps claimed.

The first iteration of the artificial intelligence tool launched in November 2022 and crossed 1 million users in just 5 days.

In comparison, it took Netflix 41 months, Facebook 10 months and Instagram nearly three months to reach similar metrics.

The massive success of the technology has spurred countless debates about how and where it should be implemented, fact versus science fiction and recentered artificial intelligence as the hot topic among Silicon Valley boardrooms after years of big promises and false starts.

"It is so good at certain things and absolutely inappropriate forever and always at other things, and we just have to use it correctly," Capps added.

Large corporations are split on ChatGPT. While some have implemented the technology to improve the user experience, such as Netflix, others have outright banned ChatGPT in their ecosystems because of the lack of available knowledge and level of uncertainty.

ChatGPT has the potential to supplant entire businesses. For example, a company that created an artificial intelligence to read through and analyze legal documents could utilize ChatGPT, which can out the same functions at a much lower cost.

OPENAI DEBUTS CHAT GPT-4, MORE ADVANCED AI MODEL THAT CAN DESCRIBE PHOTOS, HANDLE MORE TEXTS

SYMBOL - 11 February 2023, Baden-Wrttemberg, Rottweil: The Welcome to ChatGPT lettering of the US company OpenAI can be seen on a computer screen. ((Photo by Silas Stein/picture alliance via Getty Images) / Getty Images)

ChatGPT, as opposed to large language models (LLMs) specifically designed for use in a specific area of expertise, is no savant in specialized knowledge, but can provide relatively detailed responses on a wide range of topics, even if the output is susceptible to inaccuracies and surface-level observations.

Although the generative AI technology behind ChatGPT has been around for several years, the streamlined user experience of OpenAIs tool and incremental improvements to the algorithm has propelled it to everyday use alongside phones and social media.

You ask it questions and have a conversation with it, and it tries to predict statistically the best input, typically a word, sentence, or paragraph, using a significant portion of all the written text publicly available. The more data dumped in, the better the AI typically performs.

These forms of AI often use neural network-based models, which assign probabilities into a large matrix of variables and filter through a vast network of connections to produce an output.

The AI tool can generate and debug code to help build applications and websites, write emails and essays, offer quick answers to fasten research, create marketing and SEO strategies for various businesses and provide ideas to bolster creative thinking.

The program is phenomenal for people that dont have English as there first language, those who want assistance writing a letter, or people trying to find the top cities to visit for travel, according to Capps, but should not be used in situations that can affect humans in their health or livelihood.

"You dont want to ask ChatGPT how much Tylenol to give your kid when theyre sick because that would just be irresponsible," Capps said.

GPT3, the version of ChatGPT that propelled OpenAI to new levels of popularity, uses over 175 billion statistical connections and is trained on two-thirds of the internet, including Wikipedia and a large array of books. As time goes on, the company refines and expands the data set on which the tool is trained.

The newest iteration of the tool, GPT4, was unveiled earlier this month. OpenAI claims it can provide more information, understand and respond to images, process eight times more words than its predecessor and is less likely to respond to malicious requests.

But ChatGPT is still also essentially a blackbox, where the lineage and origin of the information are not immediately apparent. When hallucinations in the code arise, users cannot determine where the inaccurate information was sourced from, underscoring the importance of human-driven review.

In a March 16 interview with ABC News, Altman acknowledged concerns about ChatGPTs sometimes unreliable behavior.

"The thing that I try to caution people the most is what we call the hallucinations problem. The model will confidently state things as if they were facts that are entirely made up."

Critics have also claimed ChatGPT has a liberal bias, a "shortcoming" that Altman has said the company is working to improve. Generative AI is susceptible to biases from a number of different vectors, including the input of the user, the dataset it is trained on and the parameters and safeguards set by developers.

Altman said in early February that the company was altering ChatGPTs default settings to be "more neutral" and "empower users" to get the system to behave in a way that mirrors their own personal preferences "within broad bounds."

"[We're] talking to various policy and safety experts, getting audits of the system to try to address these issues and put something out that we think is safe and good," Altman told ABC News "And again, we won't get it perfect the first time, but it's so important to learn the lessons and find the edges while the stakes are relatively low."

While Altman works to quell concerns about biases inside his own system he also has drawn scrutiny for his political contributions.

WHAT IS CHATGPT? WHAT TO KNOW ABOUT THE AI CHATBOT THAT WILL POWER MICROSOFT BING

Sam Altman, President of Y Combinator, speaks at the Wall Street Journal Digital Conference in Laguna Beach, California, U.S., October 18, 2017. (REUTERS/Lucy Nicholson/File Photo / Reuters Photos)

In addition to hosting a fundraiser for Democratic presidential candidate Andrew Yang at his San Francisco home in late 2019, Altman has donated over $1 million to Democrats and Democratic groups, including $600,000 to the Senate Majority PAC, $250,000 to the American Bridge PAC, $100,000 to the Biden Victory Fund, and over $150,000 to the Democratic National Committee (DNC).

In 2014, Altman co-hosted a fundraiser for the DNC at the Y Combinators offices in Mountain View, California, which was headlined by then-President Obama.

During Altmans tenure from 2014 until 2019 as the CEO of Y Combinator, an incubator startup that launched Airbnb, DoorDash and DropBox, he talked about China in multiple blog posts and interviews. In 2017, Altman said that he "felt more comfortable discussing controversial ideas in Beijing than in San Francisco" and that he felt like an expansion into China was "important" because "some of the most talented entrepreneurs" that he has met have been operating there.

POTENTIAL GOOGLE KILLER COULD CHANGE US WORKFORCE AS WE KNOW IT

A book of poems lies on a screen on which the homepage of ChatGPT is called up. Artificial intelligence that writes greeting cards, poems or non-fiction texts - and sounds amazingly human in the process. The chatbot does more than just chat on the In (Karl-Josef Hildenbrand/picture alliance via Getty Images / Getty Images)

Altman also has ties to many prominent figures in the tech landscape.

Altman founded the San Francisco-based company OpenAI in 2015 with the help of big financial contributions from Silicon Valleys heavyweights, including Tesla and Twitter CEO Elon Musk, PayPal co-founder Peter Theil and LinkedIn co-founder Reid Hoffman.

At the time, the company was a tiny nonprofit laboratory focused on academic research but has since grown into a tech powerhouse (valued at $29 billion) and a major disruptor within the industry. The companys continuing strides in AI have prompted Google to declare a "code red" internally over fears that ChatGPT could displace its search engine monolith.

OpenAI raised around $130 million from 2016 to 2019, according to a Fox News Digital review of its tax forms. During that time, the group steered money toward numerous AI initiatives.

POTENTIAL GOOGLE KILLER COULD CHANGE US WORKFORCE AS WE KNOW IT

FOX Business' Lydia Hu breaks down the controversy surrounding OpenAI CEO Sam Altman and their chatbot, ChatGPT.

OpenAI spent $10.5 million in 2016 establishing its research team, setting goals, and choosing its first projects, according to its tax forms. The group also launched OpenAI Gym Beta, published nearly half a dozen comprehensive research papers, held a self-organized machine learning conference, developed infrastructure, and built a safety team.

The following year, in 2017, OpenAI spent $28 million on initiatives such as demonstrating "reinforcement learning algorithms could be scaled to beat the world's best humans at a restricted version of an advanced, multiplayer game called Dota2." The nonprofit also participated in a report on the potential malicious uses of AI and published those findings, according to its tax forms.

In 2018, the group spent nearly $50 million when it launched the OpenAI Fellows and Scholars programs. They also trained a "human-like robot hand to manipulate physical objects with unprecedented dexterity and scaling its reinforcement learning algorithms to beat a team of 99.95th percentile Dota 2 players."

CLICK HERE TO READ MORE ON FOX BUSINESS

OpenAI and ChatGPT logos are seen in this illustration taken, February 3, 2023. REUTERS/Dado Ruvic/Illustration (Reuters Photos)

And in 2019, OpenAI put nearly $2 million toward creating "OpenAI, L.P. ("Partnership"), a new capped-profit company to help rapidly scale investments in compute and talent while including checks and balances in furtherance of the organization's mission. Through its control of the partnership, the group's reinforcement learning algorithms "became the first AI to beat the world champions in an esports game," that year's tax records state.

"These same algorithms were then used to train a pair of neural networks to solve a Rubik's Cube with a human-like hand, requiring unprecedented dexterity," the tax records state.

Altman's other nonprofit, OpenResearch, has received around $24 million since its inception, TechCrunch reported.

GET FOX BUSINESS ON THE GO BY CLICKING HERE

More:
ChatGPT: Who and what is behind the artificial intelligence tool changing the tech landscape - Fox Business

Image Credits: Klaus Vedfelt / Getty Images

With all the software tools we have, its still hard to figure out how work moves across large organizations, the state of a project and how closely people are tracking against personal, team and company goals. Asana, which is built on top of a work graph, has that knowledge and the company announced a new set of dashboards today to give managers the data they need to make sure projects are staying on budget and meeting goals.

Alex Hood, chief product officer at Asana, says that the reporting capabilities put a set of information at managers fingertips that previously had to be manually pulled from various systems. Weve created executive reporting that can live at any altitude of the company. So no matter [your job], you can have your set of dashboards of the things that you care about that come in instantly just by selecting [in Asana] which teams and projects and portfolios that you care about, Hood told TechCrunch.

In practice, this involves providing a single view into strategic initiatives, team capacity and budgets. Hood says it builds on the graph model that underlies the entire Asana platform, but the company is working to bring artificial intelligence to the process to make it even smarter. The next step will be using AI to generate the portfolios of the things that you care about instantaneously. So having them become smarter and smarter, but the fact that they can be at any level across an entire organization, that is part of this new launch, he said.

In addition the platform now helps people understand the workload for any given skill across the organization to see who has bandwidth and who is overloaded to help companies more evenly distribute workloads, what Asana refers to as resource intelligence. We are shipping the ability to see the workload of anybody across the whole domain or organizationWe show [this data] in a very graphical format, so you can see whos burning out, whos under capacity, and you can load balance between them across an organization that doesnt even share a hierarchy, he said.

Finally, the company is offering a new tool it calls execution intelligence. This involves providing workflow templates that a company can use to build their own workflows themselves. Weve had workflows in our product for some time, but were making workflow bundles super easy to to pull off the shelf. So were going to have best practice workflows that are pre-constructed that you just plug your pieces into, he said.

While none of these tools has AI built into them just yet, Hood says the next iteration of these tools will definitely be built with it. So we have these three new features that are not AI-driven yet. But they are features that point our nose towards the types of problems that we want to solve with AI because the next generation that lives on top of them will be AI-driven, he said.

See original here:
Asana launches new work intelligence tools with AI on the way - TechCrunch

Artificial intelligence could automate up to a quarter of work in the U.S., a Goldman Sachs report says.

Dowell | Moment | Getty Images

As artificial intelligence products like ChatGPT aim to become a part of our everyday lives and we learn more about how powerful they can be, there's one thing on everyone's mind: how AI could impact jobs.

"Significant disruption" could be on the horizon for the labor market, a new Goldman Sachs report dated Sunday said. The bank's analysis of jobs in the U.S. and Europe shows that two-thirds of jobs could be automated at least to some degree.

In the U.S., "of those occupations which are exposed, most have a significant but partial share of their workload (25-50%) that can be replaced," Goldman Sachs analysts said in the resarch paper.

Around the world, as many as 300 million jobs could be affected, the report says. Changes to labor markets are therefore likely although historically, technological progress doesn't just make jobs redundant, it also creates new ones.

The use of AI technology could also boost labor productivity growth and boost global GDP by as much as 7% over time, Goldman Sachs' report noted.

Certain jobs will be more impacted than others, the report explains. Jobs that require a lot of physical work are, for example, less likely to be significantly affected.

In the U.S., office and administrative support jobs have the highest proportion of tasks that could be automated with 46%, followed by 44% for legal work and 37% for tasks within architecture and engineering.

The life, physical and social sciences sector follows closely with 36%, and business and financial operations round out the top five with 35%.

On the other end of the scale, just 1% of tasks in the building and ground cleanings and maintenance sector are vulnerable to automation. Installation, maintenance, and repair work is the second least affected industry with 4% of work potentially being affected, and construction and extraction comes third from the bottom with 6%.

Data for Europe is slightly broader, but paints a similar picture with clerical support roles being most affected as 45% of their work could be automated, and just 4% of work in the crafts and related trades sector being vulnerable.

Overall, 24% of work in Europe could be automated just below the 25% average in the U.S.

These figures shift when looking at automation through AI on a global scale.

"Our estimates intuitively suggest that fewer jobs in EMs [emerging markets] are exposed to automation than in DMs [developed markets], but that 18% of work globally could be automated by AI on an employment-weighted basis," the Goldman Sachs report said.

According to the bank's analysis, Hong Kong, Israel, Japan, Sweden and the U.S. are likely to be the top five most affected countries. Meanwhile, employees in mainland China, Nigeria, Vietnam, Kenya and, in last place, India, are the least likely to see their work being taken over by AI technology.

But while the data shows that AI will undoubtedly impact the labor market, it's not yet clear how disruptive it will really be, the report concludes.

"The impact of AI will ultimately depend on its capability and adoption timeline," it says, adding that two key factors will be how powerful AI technology really becomes and how much it is used in practice.

See the original post here:
Goldman Sachs says generative A.I. could impact 300 million jobs here's which ones - CNBC

Summary: Study identifies six factors humans must overcome to insure artificial intelligence is trustworthy, safe, reliable, and compatible with human values.

Source: University of Central Florida

A University of Central Florida professor and 26 other researchers have published a study identifying the challenges humans must overcome to ensure that artificial intelligence is reliable, safe, trustworthy and compatible with human values.

The study,Six Human-Centered Artificial Intelligence Grand Challenges, was published in theInternational Journal of Human-ComputerInteraction.

Ozlem Garibay 01MS 08PhD, an assistant professor in UCFsDepartment of Industrial Engineering and Management Systems, was the lead researcher for the study. She says that the technology has become more prominent in many aspects of our lives, but it also has brought about many challenges that must be studied.

For instance, the coming widespread integration of artificial intelligence could significantly impact human life in ways that are not yet fully understood, says Garibay, who works on AI applications in material anddrug design and discovery, and how AI impacts social systems.

The six challenges Garibay and the team of researchers identified are:

The study, which was conducted over 20 months, comprises the views of 26 international experts who have diverse backgrounds in AI technology.

These challenges call for the creation of human-centered artificial intelligence technologies that prioritize ethicality, fairness and the enhancement of human well-being, Garibay says.

The challenges urge the adoption of a human-centered approach that includes responsible design, privacy protection, adherence to human-centered design principles, appropriate governance and oversight, and respectful interaction with human cognitive capacities.

Overall, these challenges are a call to action for the scientific community to develop and implement artificial intelligence technologies that prioritize and benefit humanity, she says.

The group of 26 experts include National Academy of Engineering members and researchers from North America, Europe and Asia who have broad experiences across academia, industry and government. The group also has diverse educational backgrounds in areas ranging from computer science and engineering to psychology and medicine.

Their work also will be featured in a chapter in the book, Human-Computer Interaction: Foundations, Methods, Technologies, and Applications.

Five UCF faculty members co-authored the study:

Garibay received her doctorate in computer science from UCF and joined UCFs Department of Industrial Engineering and Management Systems, part of theCollege of Engineering and Computer Science, in 2020.

Author: Robert WellsSource: University of Central FloridaContact: Robert Wells University of Central FloridaImage: The image is in the public domain

Original Research: Open access. Six Human-Centered Artificial Intelligence Grand Challenges by Ozlem Garibay et al. International Journal of Human-Computer Interaction

Abstract

Six Human-Centered Artificial Intelligence Grand Challenges

Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood.

Negative unintended consequences abound including the perpetuation and exacerbation of societal inequalities and divisions via algorithmic decision making.

We present six grand challenges for the scientific community to create AI technologies that are human-centered, that is, ethical, fair, and enhance the human condition.

These grand challenges are the result of an international collaboration across academia, industry and government and represent the consensus views of a group of 26 experts in the field of human-centered artificial intelligence (HCAI).

In essence, these challenges advocate for a human-centered approach to AI that (1) is centered in human well-being, (2) is designed responsibly, (3) respects privacy, (4) follows human-centered design principles, (5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting humans cognitive capacities.

We hope that these challenges and their associated research directions serve as a call for action to conduct research and development in AI that serves as a force multiplier towards more fair, equitable and sustainable societies.

See the original post:
Researchers Identify 6 Challenges Humans Face With Artificial Intelligence - Neuroscience News

What is included in my trial?

During your trial you will have complete digital access to FT.com with everything in both of our Standard Digital and Premium Digital packages.

Standard Digital includes access to a wealth of global news, analysis and expert opinion. Premium Digital includes access to our premier business column, Lex, as well as 15 curated newsletters covering key business themes with original, in-depth reporting. For a full comparison of Standard and Premium Digital, click here.

Change the plan you will roll onto at any time during your trial by visiting the Settings & Account section.

If you do nothing, you will be auto-enrolled in our premium digital monthly subscription plan and retain complete access for $69 per month.

For cost savings, you can change your plan at any time online in the Settings & Account section. If youd like to retain your premium access and save 20%, you can opt to pay annually at the end of the trial.

You may also opt to downgrade to Standard Digital, a robust journalistic offering that fulfils many users needs. Compare Standard and Premium Digital here.

Any changes made can be done at any time and will become effective at the end of the trial period, allowing you to retain full access for 4 weeks, even if you downgrade or cancel.

You may change or cancel your subscription or trial at any time online. Simply log into Settings & Account and select "Cancel" on the right-hand side.

You can still enjoy your subscription until the end of your current billing period.

We support credit card, debit card and PayPal payments.

Read the original:
Can artificial intelligence write fiction with real tension? - Financial Times