Welcome to our May 2023 monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, find out about recent events, and more. This month, we learn how to mitigate biases in machine learning, explore tradeoffs in school redistricting, and find out how machine learning algorithms fared in predicting the winner of this year's Eurovision Song Contest. In this blogpost, Max Springer examines the notion of fairness in hierarchical clustering. Max and colleagues demonstrate that it's possible to incorporate fairness constraints or demographic information into the optimization process to reduce biases in ML models without significantly sacrificing performance. Joar Skalse and Alessandro Abate won the AAAI 2023 outstanding paper award for their work, Misspecification in Inverse Reinforcement Learning, in which they study the question of how robust the inverse reinforcement learning problem is to misspecification of the underlying behavioural model.

New Yorkers reveal what they would put in their doomsday bags. "Transformers" and "Las Vegas" star Josh Duhamel has spoken out about becoming a doomsday prepper, stating that he's planning on protecting his family if the "s*** hits the fan" in Los Angeles. The actor, who has starred in the TV show "Las Vegas," gave an interview in which he explained, "I've become a bit of a doomsday prepper, I guess." Duhamel told the website Inverse, "I'm learning how to hunt. He added, "Suddenly I had 54 acres out there.

'Outnumbered' hosts weigh in on the health of top Democrat leaders and discuss proposals for how to handle lawmakers who become unwell during service. The subjects of mental and physical competency in elected office has become a fierce debate in recent months. Back in February, Republican presidential candidate Nikki Haley called for a mandatory cognitive test for politicians 75 and older, a not-so-subtle dig at 80-year-old President Biden and her 76-year-old GOP rival former President Trump. Poll after poll have shown voters, even among Democrats, increasingly concerned about Biden's age as he seeks reelection in 2024. And his presidency has not been short of gaffes, verbal stumbles and various memory lapses.

GOP Rep. Nancy Mace spoke exclusively with Fox News Digital about her thoughts on the rapidly advancing AI sector as Congress races to get ahead of the burgeoning technology. EXCLUSIVE: Rep. Nancy Mace, R-S.C., is calling on the federal government to use artificial intelligence technology to better secure the southwestern border. During an interview with Fox News Digital, Mace suggested the rapidly advancing technology could be used to enhance border patrol agents' monitoring capabilities as border officials continue to see a record number of illegal aliens attempting to cross into the U.S. through Mexico. On one front, she said, AI could help better collect "biometrics of everyone that comes across the border, especially when we're talking about by land and illegally. Rep. Nancy Mace spoke with Fox News Digital about how AI technology can be used to improve border security. "And if you're using AI to find their biometrics in a database or multiple databases, I believe it can be done in a much swifter fashion," the congresswoman explained. "I think that that kind of technology could be used when you're driving through the border.

ACM A.M. Turing Award recipient Bob Metcalfe--engineer, entrepreneur, and Professor Emeritus at the University of Texas at Austin--is embarking on his sixth career, as a Computational Engineer at the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL). He is always willing to tell the story of his first career, as a researcher at the Xerox Palo Alto Research Center (PARC) where, in 1973, Metcalfe and then-graduate student David Boggs invented Ethernet, a standard for connecting computers over short distances. In the ensuing years, thanks in no small part to Metcalfe's entrepreneurship and advocacy, Ethernet has become the industry standard for local area networks. Leah Hoffmann spoke to Metcalfe about the development of Ethernet and what it has meant for the future of connectivity. You published your first paper about Ethernet in Communications in July 1976 (https://bit.ly/403Sxmm).

Thomas Haigh (thomas.haigh@gmail.com) is a professor of history at the University of Wisconsin--Milwaukee, WI, USA, and a Comenius visiting professor at Siegen University, Germany.

Google famously began life touting the motto, "Don't be evil." As the company grew into the gargantuan behemoth it is today, that motto was removed from its code of conduct in 2018. Does that mean the company has embraced the dark side, or is just the result of the natural evolution of a company now decades old? We'll explore that in this article, the latest installment of our "conversations with the AI" series. Also: I asked ChatGPT, Bing, and Bard what worries them.

Australian philosopher Peter Singer's book Animal Liberation, published in 1975, exposed the realities of life for animals in factory farms and testing laboratories and provided a powerful moral basis for rethinking our relationship to them. Now, nearly 50 years on, Singer, 76, has a revised version titled Animal Liberation Now. It comes on the heels of an updated edition of his popular Ethics in the Real World, a collection of short essays dissecting important current events, first published in 2016. Singer, a utilitarian, is a professor of bioethics at Princeton University. In addition to his work on animal ethics, he is also regarded as the philosophical originator of a philanthropic social movement known as effective altruism, which argues for weighing up causes to achieve the most good.

Fearing the unknown is an integral part of the human experience, especially when the unknown is something as powerful as generative AI. Therefore, as generative AI models grow in popularity, so do the concerns around them. A new Reuters/Ipsos poll showed that more than two-thirds of Americans have concerns regarding AI risks. The poll also revealed that fears have grown beyond a simple concern. Out of the 4,415 U.S. adults polled, 61% believe that AI is a threat to humanity, nearly triple the amount of respondents who didn't foresee it being a threat.

We've collected some of the articles, opinion pieces, videos and resources relating to large language models (LLMs). Some of these links also cover other generative models. We will periodically update this list to add any further resources of interest. This article represents the first update.