We want to hear how AI is impacting you and your work. What interests you? What tools have you discovered? What are your biggest questions? For the next 31 days, we’re inviting community members to share how AI is shaping their lives. Just post to the Inside AI community during the month of May using the hashtag #31DaysofAI. The goal is to learn, but that’s not all. At the end of the month, we’ll pick the best frequent contributors and send out some exclusive Inside.com swag. |
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What happened: IBM CEO Arvind Krishna says the company will halt recruitment for particular positions that could potentially be replaced by artificial intelligence (AI) within the next few years, specifically focusing on back-office functions, such as certain HR roles. Details: Krishna predicts that approximately 30% of these roles, which employ around 26,000 individuals at IBM, could be replaced by AI and automation within five years. Why it matters: This move by IBM is significant, as it highlights concerns about job losses due to the rapidly advancing technology of AI and automation in the world's labor markets. What the numbers say: According to a recent report by Goldman Sachs analysts, generative AI technologies could potentially automate 300 million full-time jobs, with two-thirds of jobs in the U.S. and Europe likely to be affected by AI automation in some form. However, the authors of the report also estimate that generative AI could lead to a "productivity boom," ultimately raising the annual worldwide GDP by an estimated 7% over a period of 10 years. 
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Geoffrey Hinton, a renowned AI researcher and one of the "godfathers of AI," has resigned from his position as a Google VP and engineering fellow to speak more openly about the potential dangers of AI. Hinton recently spoke with the New York Times about his concerns regarding AI deepfakes, misinformation, and the impact on job markets. Background: - Hinton, along with Yann LeCun and Yoshua Bengio, won the prestigious Turing Award in 2018 for their contributions to the development of deep neural networks that underlie modern AI.
- Hinton's most significant contribution to the field is the backpropagation algorithm, which he co-proposed in the 1980s with two students and serves as the foundation for most machine learning models.
- While splitting his time between the University of Toronto and Google, Hinton has become increasingly worried about the potential risks of AI, including the possibility of machines surpassing human intelligence, which he once believed was at least three decades away.
Concerns: - After leaving his part-time role at Google this month, Hinton, 75, told the NYT that he is increasingly concerned about AI's risks and has some regrets about his contributions to the field.
- "I console myself with the normal excuse: If I hadn't done it, somebody else would have," Hinton said.
- One concern he has is that AI could take away more than "drudge work" and eliminate more jobs than people expect.
- In the future, Hinton worries that AI technology that generates and runs its own computer code could take on unexpected behaviors, and humanity could face a new reality involving fully autonomous weapons.
- “Look at how it was five years ago and how it is now,” he said. “Take the difference and propagate it forwards. That’s scary.”
THE NEW YORK TIMES 
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 A message from TRUERA LLM Testing and Monitoring – Join the Hands-On Workshop How can you ensure that your large language model is honest, harmless, and helpful? Join TruEra on May 11th and 18th as their President and Chief Scientist, Anupam Datta, provides a hands-on overview of how to analyze and improve the performance of your LLMs. During the two 60-minute online sessions, he will cover the following: - Quick introduction to LLMs - what are they and their history?
- Risks and challenges of LLMs: is your LLM honest, harmless, and helpful?
- Defining feedback functions to model LLM quality and performance
- How should you test and monitor LLMs?
- Live walk-throughs of how to identify, diagnose, and debug model issues in development and production
- Q&A with Professor Datta
Dates: 2-session series on May 11th and 18th Where: Virtual Event - Join from Anywhere Who should attend: Data scientists, machine learning engineers, MLOps managers, data analysts, statisticians, data and analytics managers Join for free
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University of Texas at Austin researchers have devised a non-intrusive approach that uses AI and brain scans to transform a person's thoughts into sentences. The "semantic decoder" can transcribe the gist of what an individual has heard, viewed, or imagined and translate it into a stream of text, according to their research. Although the technology is still in its early stages, it has the potential to serve as a foundation for non-invasive brain-computer interfaces that could help people with disabilities such as paralysis communicate intelligibly. More: - For the first time, scientists were able to decode an individual's "continuous language" from their brain recordings without the use of surgical implants.
- The study involved three human participants who listened to narrative podcasts while inside an fMRI machine for 16 hours.
- The researchers mapped how the words translated to responses in language-processing parts of the brain.
- A large language model was used to match patterns in the participants' brain activity to phrases and words they heard.
- Later, the participants listened to a new story or imagined telling a story, and the decoder generated corresponding text from their brain activity.
- While not a word-for-word transcript, the decoder could "recover the gist of what the user was hearing," said lead author Jerry Tang.
- The study, which was published in Nature Neuroscience, emphasizes that "brain-computer interfaces should respect mental privacy."
SCIENTIFIC AMERICAN
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Digital ministers for the Group of Seven (G7) countries have agreed on the adoption of "risk-based" regulations for AI. The government officials said any regulations should be based on democratic values and maintain "an open and enabling environment" for AI development in their respective countries. More: - During a two-day meeting in Japan, the ministers agreed to promote responsible AI use, encourage talks on AI risk assessment, and support an international deal that would accelerate data flows across borders.
- They acknowledged that "policy instruments" to pursue a common aim of trustworthy AI could differ across G7 nations.
- The digital ministers oversee technology issues for each of the G7 advanced nations: Canada, France, Germany, Italy, Japan, the U.K., and the U.S.
- Japanese Prime Minister Fumio Kishida is expected to discuss AI rules with global leaders during the annual G7 Summit in late May.
Zoom out: - European Commission Executive Vice President Margrethe Vestager welcomed the G7 agreement and said it showed that the EU is not alone in its efforts to regulate AI.
- On Sunday, Vestager said she expects the EU to finalize an agreement this year on its AI Act, which would be the world's first comprehensive legislation governing AI.
REUTERS
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 A message from IMPACT It's time to take your influencer marketing and transform it into an influencer partnership program. What's it take to do that? Going beyond recruitment and onboarding to full life cycle influencer relationship management. Find out about what it takes to manage influencers throughout the Discover, Recruit, Onboard, Engage, and Optimize stages in this handy infographic. View Here
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The European Union said that nearly 20 major tech platforms, including Apple, Facebook, and Twitter, have to comply with stricter rules for algorithmic risk, content recommendations, and more. The companies, designated as "very large" online search engines or platforms with 45 million+ monthly active users, will have four months to comply with the entirety of the EU's new Digital Services Act (DSA), lawmakers said. Failure to do so could result in fines as high as 6% of their annual turnover or a temporary ban. More: - The EU has singled out 19 online platforms as passing that 45-million user threshold. Most of the companies are U.S.-based, though Chinese-owned platforms TikTok and AliExpress are also mentioned.
- Under the broader rules, platforms will need to inform their online users why they are receiving certain recommendations and give them the opportunity to opt out.
- The terms and conditions in contracts will require summaries in "plain language" and all EU languages.
- The DSA mandates that platforms remove illegal content more quickly and share information about their content-recommending algorithms and efforts to fight harmful content and online misinformation.
- The rules tackle several topics, including prohibiting online platforms from targeting children with ads and barring platforms from relying on algorithms that use data to target users based on gender, race, and religion.
- The EU says it could add more platforms to the stricter "very large" category over time.
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AI Events and Conferences: - Google I/O: May 10, live-streamed and on-demand.
- AI and Big Data Expo North America: May 17-18, Santa Clara, California.
- AI World Congress 2023: June 7-8, London.
- Data Science Salon: Applying AI & Machine Learning to Media & Advertising: June 8, New York City and virtual.
- Big Data and Analytics Summit Canada: June 13-14, Toronto.
- Deep Learning World: June 18-22, Las Vegas.
- Ai4 2023: Aug. 7-9, Las Vegas.
- AI Hardware Summit: Sept. 12-14, Santa Clara, California.
- Edge AI Summit: Sept.12-14, Santa Clara, California.
- AI & Big Data Expo Global 2023: Nov. 30-Dec. 1, Olympia, London.
- The AI Summit New York: Dec. 6-7, New York City.
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QUICK HITS - The company behind these surgical robots is planning to list on Nasdaq. Last day to fund your investment is on 5/10.*
- TikTok is reportedly working on a tool for content creators to label their AI-generated videos, although it's not clear if or how the platform may enforce the disclosure.
- Microsoft's Bing AI is automatically appearing on newer Samsung Galaxy devices in the latest version of the SwiftKey keyboard.
- The Chamber of Progress has asked Senate Majority Leader Charles Schumer (D-N.Y.) to support autonomous vehicles in his proposed framework for future AI regulations. The tech lobbying group argued that a lack of federal standards for self-driving vehicles could undercut U.S. competitiveness against China.
- Demo Divvy, get an Ember heated mug. Hot coffee and quick and easy expense management — get both when you demo Divvy.*
*This is a sponsored post.
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Upcoming events: *This is a sponsored listing.
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 |  | Beth is a writer and editor at Inside.com covering artificial intelligence and daily technology news. She has written the Inside AI newsletter since 2019. You can reach her at Beth.Duckett@inside.com. |   | | Editor | Aaron Crutchfield is based in the high desert of California. Over the last two decades, he has spent time writing and editing at various local newspapers and defense contractors in California. When he's not working, he can often be found looking at the latest memes with his kids or working on his 1962 and 1972 Fords. | |
Join us on May 11th and 18th for a hands-on overview of how to analyze and improve the performance of your LLMs. | |
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