In every election, after the polls close and the votes are counted, there comes a time for reflection. Pundits appear on cable news to offer theories, columnists pen op-eds with warnings and advice for the winners and losers, and parties conduct postmortems. The 2020 U.S. presidential election in which Donald Trump lost to Joe Biden was no exception. For Caltech undergrad Sreemanti Dey, the election offered a chance to do her own sort of reflection. Dey, an undergrad majoring in computer science, has a particular interest in using computers to better understand politics.

Welcome to our April 2022 monthly digest, where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. This month, we hear from our latest new voice in AI, talk about AI images, investigate data justice, and watch an AI system play bridge. In our latest episode of New voices in AI, we caught up with Maria De-Arteaga who told us about her work and journey into algorithmic fairness and human algorithm collaboration. You can find all episodes in the series here. In this article, Thom Badings and Nils Jansen write about their work on controllers for autonomous systems that won them, and co-authors Alessandro Abate, David Parker, Hasan Poonawala, and Marielle Stoelinga, a distinguished paper award at AAAI 2022.

How to Do It is Slate's sex advice column. Send it to Stoya and Rich here. My wife and I (both women) are now in an open marriage … at least in theory. The problem isn't our comfort levels--we love each other deeply, are both comfortable with the idea that we can venture out but that we'll always come back to each other, and generally have pretty good communication. The problem is how to find someone else who's interested.

The Computer Science Department's new course focusing on issues of justice, equity, diversity and inclusion in computer science and society got its start when a group of graduate students decided to create the training they wished they had received. And after hundreds of hours of work by 15 Ph.D. students --pilot programs, countless conversations with faculty and students, data gathering, and developing and tweaking course material -- CS-JEDI: Justice, Equity, Diversity and Inclusion is now a required part of the curriculum for incoming Ph.D. students in computer science. It's also being looked at as a model by both other departments in the School of Computer Science and universities elsewhere. The course was created and taught by Abhinav Adduri, Valerie Chen, Judeth Choi, Bailey Flanigan, Paul Göelz, Anson Kahng, Pallavi Koppol, Ananya Joshi, Tabitha Lee, Sara McAllister, Samantha Reig, Ziv Scully, Catalina Vajiac, Alex Wang and Josh Williams -- all doctoral candidates in SCS who represent nearly every department in the school. The team received Carnegie Mellon University's 2022 Graduate Student Service Award and will be honored during the Celebration of Education Award Ceremony on Thursday, April 28.

The vast list of artificial intelligence applications continually increases as researchers, technologists, and scientists try to leverage computing power to gain competitive edges over the more slowly adopting set. Today I want to traipse across the American business and tech landscape and present a few of the new and hopefully intriguing upgrades of these mostly familiar devices and services being brought into the 21st century via AI. First a quick overview of the concept of AI and where it's come from over the past years and decades. Earlier writings comingled two phrases to identify the technology: artificial intelligence, which has become the well-known marketable way to talk about the tech, and "computational intelligence," which might be useful amongst a group of AI--err, CI?--subject matter experts, but doesn't carry the cachet of its more widely accepted phrase. For anyone who uses either phrase, it's generally understood to refer to some sort of machine-based intelligence.

Sam Waicberg is the President of CareAR Holdings, a Xerox and ServiceNow-supported company. If someone says "AI," what do you think? Most people would say, "artificial intelligence." McKinsey notes that AI adoption is rising steadily, citing that 56% of all respondents to their 2021 survey report AI adoption in at least one function, up from 50% in 2020. Service organizations are one of the primary areas where AI is being applied. While machine learning delivers new insight, it cannot entirely replace humans.

JD: It doesn't really make sense to me, [but] I'm pleased that we have our 45 issued patents, our 40 pending patents, all in the US. And our 30 European patents are unaffected by the ruling. And honestly, look, I'm carrying on with my research. AR: I always thought the origin of the patent fight was not about money. My own reading of why it was so strongly fought was that it was not over commercial control but over credit--who did the science--and the truth.

The ACM constitution provides that our Association hold a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--two Members-at-Large will be elected to serve on ACM Council. The 2022 candidates for ACM President, Yannis Ioannidis and Joseph A. Konstan, are working together to solicit and answer questions from the computing community! Please refer to the instructions posted at https://vote.escvote.com/acm. Please note the election email will be addressed from acmhelp@mg.electionservicescorp.com. Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 23 May 2022. Validation by the Elections Committee will take place at 14:00 UTC on 25 May 2022. Yannis Ioannidis is Professor of Informatics & Telecom at the U. of Athens, Greece (since 1997). Prior to that, he was a professor of Computer Sciences at the U. of Wisconsin-Madison (1986-1997).

Editor's note: This article was originally published on March 8, 2021. Wired reports a gender bias exists in AI and, in 2018, found that only 12% of AI researchers are women. When I started my career as a Data Analyst, a Data Science engineer position was not widely available in Ukraine. Self-education and getting acquainted with ML algorithms took me some time and a lot of effort. Nowadays, I work as an AI engineer at MobiDev, and the more experience I get, the more willing I am to share my experiences with people in my articles and webinars.

The winners of the 2022 International Conference on Learning Representations (ICLR) outstanding paper awards have been announced. There are seven outstanding paper winners and three honourable mentions. The award winners will be presenting their work at the conference, which is taking place virtually, this week. Analytic-DPM: an analytic estimate of the optimal reverse variance in diffusion probabilistic models Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang Abstract: Diffusion probabilistic models (DPMs) represent a class of powerful generative models. Despite their success, the inference of DPMs is expensive since it generally needs to iterate over thousands of timesteps.