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October 7

The long-term answers to fixing bias in AI systems

Chirag Shah was quoted in an article by Esther Ajao onTech Targets.

August 9

The word hybrid

Tech Workers Struggle With Hybrid IT Complexity

Chirag Shah was quoted in an article by Brandon Shopp in DevOps.com.

July 27

collage of faces

No quick fix: How OpenAI’s DALL·E 2 illustrated the challenges of bias in AI

Chirag Shah was quoted in the article in an article by Jake Traylor in NBC News.

 

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October 7, 2022: Chirag Shah was quoted in the article, “The long-term answers to fixing bias in Ai systems“, by Esther Ajao in Tech Targets.

August 9, 2022: Chirag Shah was quoted in the article, “Tech workers struggle with Hybrid IT complexity, by Brandon Shopp in DevOps.com.

July 7, 2022: Emily M. Bender was quoted in the article, “Has Ai developed consciousness?,” in BBC News.

July 5, 2022: Chirag Shah authored the article, “Sentient AI? Convincing you it’s human is just part of LaMDA’s job,” in Healthcare IT News.

June 29, 2022: Chirag Shah authored the article, “Sentient AI — Is That What We Really Want?” in Information Matters.

June 27, 2002: Emily M. Bender was interviewed for, “Don’t worry about the robot revolution: One expert explains why AI is nowhere near sentience,” on Here & Now.

June 14, 2022: Emily M. Bender authored the op-ed, “Human-like programs abuse our empathy – even Google engineers aren’t immune,” in The Guardian. Photo credit: The Washington Post/Getty Images.

June 14, 2022: Emily M. Bender was quoted in “Google Debate Over ‘Sentient’ Bots Overshadows Deeper AI Issues,” by Davey Alba, in Bloomberg.

June 14, 2022: Emily M. Bender was quoted in, “This AI model tries to re-create the mind of Ruth Bader Ginsburg,” by Pranshu Verma in The Washington Post.

June 13, 2022: Emily M. Bender was quoted in, “A.I. experts say the Google researcher’s claim that his chatbot became ‘sentient’ is ridiculous—but also highlights big problems in the field,” by Jeremy Kahn, in Fortune.

June 11, 2022: Emily M. Bender was quoted in, “The Google engineer who thinks the company’s AI has come to life,” by Nitasha Tiku, in The Washington Post.

June 11, 2022: Emily M. Bender was quoted in, “Huge “foundation models” are turbo-charging AI progress,” in The Economist.

May 26, 2022: Tanu Mitra gave an invited keynote talk at the FEVER workshop (Fact Extraction and VERification) at ACL 2022. Her talk was titled, “Problematic Information on Social Media Platforms: Understanding and Countering.”

May 18, 2022: Emily M. Bender was interviewed for the article, “The problem with overestimating AI,” by Hope Reese, in pnw.ai.

May 11, 2022: Emily M. Bender authored the op-ed, “Look behind the curtain: Don’t be dazzled by claims of ‘artificial intelligence’,” in The Seattle Times.

May 10, 2022: Emily M. Bender was quoted in “Chatbots in U.S. justice system raise bias, privacy concerns,” by Avi Asher-Schapiro and David Sherfinski, in Thomson Reuters Foundation News.

May 9, 2022: Chirag Shah was quoted in “The Development of AI: Balancing Convenience and Ethics,” by Ryan Ayers in Hackernoon.

April 29, 2022: A paper by Tanu Mitra and her research partners received Honorable Mention (top 5 percent) at the ACM CHI Conference on Human Factors in Computing Systems, held April 30 to May 6 in New Orleans. The paper is called: “OtherTube: Facilitating Content Discovery and Reflection by Exchanging YouTube Recommendations with Strangers.”

April 20, 2022: Bill Howe’s research was discussed in the article “Using AI to expand the quality and fairness of urban data,” by Sabine Lehr for Springer.

March 29, 2022: Emily M. Bender and Chirag Shah were quoted in “Chatbots could one day replace search engines. Here’s why that’s a terrible idea,” by Will Douglas Heaven, in MIT Technology Review.

March 14, 2022 : Emily M. Bender and Chirag Shah discussed their new perspective paper in the UW News article, “Q&A: Preserving context and user intent in the future of web search,” by Lauren Kirschman.

March 2, 2022: Chirag Shah was quoted in the TechTarget article “Enterprise hybrid AI use is poised to grow,” by Lisa Morgan.

February 16, 2022: Research by Yunhe Feng and Chirag Shah was featured in the UW News story, “Google’s ‘CEO’ image search gender bias hasn’t really been fixed,” by Sarah McQuate.

January 5, 2022: Emily M. Bender was quoted in “Amazon helps develop Alexa-like Callisto system for Artemis moon mission,” by Paul Brinkmann in Science News.

December 17, 2021: Chirag Shah was quoted in the TechTarget article: “Predictive analytics in marketing: Achieving success” by Mary K. Pratt.

December 6, 2021: Emily M. Bender was quoted in the article, “Why we must rethink AI benchmarks,” by Ben Dickson, in TechTalks.

November 24, 2021: Chirag Shah was quoted in the article, “COVID-19 cases among children in Midcoast, statewide continue to rise,” by Kathleen O’Brien in the Times Record.

November 2, 2021: Emily M. Bender was quoted in the article, “Microsoft is giving businesses access to OpenAI’s powerful AI language model GPT-3,” by James Vincent in The Verge.

October 27, 2021: Aylin Caliskan appeared in the podcast, “How pricing algorithms learn to collude,” reported by Anthony Green and produced by Jennifer Strong and Emma Cillekens, for MIT Technology Review.

October 18, 2021: Emily M. Bender was quoted in the article, “Limits to Growth: Can AI’s Voracious Appetite for Data Be Tamed?” in Undark by John McQuaid.

October 16, 2021: Chirag Shah authored the article, “True Cost of Free Search,” in Information Matters.

October 14, 2021: Chirag Shah was interviewed by Daniel Litwin in the video, “Is Social Media Disinformation an InfoSec Community Issue?” for MarketScale.

October 9, 2021: Emily M. Bender co-authored the article, “Guest post: AI surveillance in prisons is a terrible idea, both technologically and ethically,” in GeekWire.

October 5, 2021: Emily M. Bender was interviewed by Eliza Strickland for the radio episode, “New concerns over AI language program’s troubling tendencies,” on the WBUR show Here & Now.

Sept. 14, 2021: Emily M. Bender was quoted in the Wired article, “A Stanford Proposal Over AI’s ‘Foundations’ Ignites Debate,” by Will Knight.

Sept. 20, 2021: Bill Howe was quoted in the article, “Could Coders Automate Away Their Own Work?” by Stefan Milne in Seattle Met.

Sept 2, 2021: Chirag Shah was quoted in the article, “How AI Will Change IT Jobs,” by John Edwards, in ITPro Today.

August 30, 2021: Emily M. Bender was quoted in the article, “At Stanford’s “foundation models” workshop, large language model debate resurfaces,” by Hayden Field in Emerging Tech Brew.

August 27, 2021: The UW Information School published the article, “Aylin Caliskan Adds to iSchool Expertise in Ethical AI,” by Mary Lynn Lyke.

August 25, 2021: Andrew Connolly was quoted in “UW, Carnegie Mellon to pioneer platforms that harness astrophysical data to unravel the universe’s mysteries” in UW News.

August 17, 2021: Bill Howe’s EquiTensors project was featured in “Using Machine Learning to Improve Urban Mobility and Transportation,” published by the West Big Data Innovation Hub.

July 30, 2021: Bill Howe’s EquiTensors project was highlighted in the MetroLab Innovation of the Month Series with an interview in GovTech, “Project Aims to Better Use Municipal Open Data, Boost Equity,” by Josh Schacht.

July 22, 2021: “Tanu Mitra Wins Grant, Award for Young Researchers,” by Doug Parry was published on the UW Information School’s website.

July 13, 2021: Chirag Shah was quoted in the article, “AI Can Write Songs, but Is It Creative?” by Sascha Brodsky in LifeWire.

June 23, 2021: Chirag Shah was quoted in the article, “How New AI-Powered Smart Tires May Help Change Transportation,” by Brandon Sams in LifeWire.

June 22, 2021: Bill Howe was quoted in “AI tackles data-center workload management” by John Edwards in Network World.

June 21, 2021: Yulia Tsvetkov co-authored the paper, “A Survey of Race, Racism, and Anti-Racism in NLP,” published in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.

June 14, 2021: Emily M. Bender’s work was mentioned in, “Inside the fight to reclaim AI from Big Tech’s control,” by Karen Hao in MIT Technology Review.

June 5, 2021: Chirag Shah’s work was chronicled in “5 ways AI bias hurts your business” by Mary K. Pratt, published in TechTarget as part of the series “Avoiding AI bias.”

June 2021: Tanu Mitra was awarded the Adamic-Glance Distinguished Young Researcher Award at the 2021 International AAAI Conference on Web and Social Media (ICWSM).This award is presented annually to a researcher who has distinguished themselves through innovative research in the area of computational social science in the early stage of their career.

June 2021: Tanu Mitra was awarded an Office of Naval Research (ONR) Young Investigator Program (YIP) grant for Influencing Communities and Narratives: New Techniques for Understanding Adversarial Influence Online, in the category of Social Networks and Computational Social Science. 

May 20, 2021: Emily M. Bender was quoted in the article, “The race to understand the exhilarating, dangerous world of language AI,” by Karen Hao in MIT Technology Review.

May 18, 2021: Emily M. Bender was mentioned in the Washington Post article, “Google announces new privacy features for Android phones — but stops short of limiting ad tracking,” by Gerrit De Vynck.

May 14, 2021: Chirag Shah was quoted in “Fear or Anger: Why it Matters if AI Gets Emotions Right” by Peter Suciu in ClearanceJobs. 

May 10, 2021: Aylin Caliskan authored the report, “Detecting and mitigating bias in natural language processing,” published as part of the Brookings Institution’s Artificial Intelligence and Emerging Technology (AIET) Initiative.

April 30, 2021: Emily M. Bender’s work was discussed in the article, “Ethics of AI: Benefits and risks of artificial intelligence,” by Tiernan Ray in ZDNet.

April 23, 2021: Chirag Shah authored the article, “Facebook and the Power of Big Data and Greedy Algorithms,” published in insideBIGDATA.

April 8, 2021: A paper co-authored by Emily M. Bender was discussed in the article, “Computational language models can further environmental degradation and language bias,” by Kate Companion in The Daily, a University of Washington publication.

March 2021: Assistant Professor Tanu Mitra was awarded Google Research Scholar for Supporting Scalable Value-Sensitive Fact-Checking through Human-AI Intelligence.

March 22, 2021: Chirag Shah was quoted in the article, “Hospitals Hide Pricing Data From Search Results,” by Tom McGinty, Anna Wilde Mathews and Melanie Evans, in The Wall Street Journal.

March 19, 2021: Emily M. Bender’s work was discussed in “Training AI to be really smart poses risks to climate,” by Kathryn Hulick in Science News for Students.

March 10, 2021: A paper co-authored by Emily M. Bender was chronicled in the UW News article, “Large computer language models carry environmental, social risks,” by Jackson Holtz.

March 10, 2021: Chirag Shah authored the article, “It’s not just a social media problem – how search engines spread misinformation,” published in The Conversation.

March 5, 2021: Tanu Mitra’s research appeared in the Sky News article, “COVID-19: Waterstones and Amazon urged to add warning tags as anti-vaccination book sales surge,” by Sanya Burgess.

February 3, 2021: Tanu Mitra’s research appeared in “Amazon’s search algorithm spreads vaccine disinformation, study finds,” by Thomas Macaulay in TNW.

February 1, 2021: The interview: “Inside a Hot-Button Research Paper: Dr. Emily M. Bender Talks Large Language Models and the Future of AI Ethics,” by Hayden Field, was published in Emerging Tech.

January 29, 2021: Tanu Mitra’s research appeared in The Spokesman-Review article, “UW study finds Amazon promotes vaccine lies, especially to already misinformed users,” by Maggie Quinlan.

January 28, 2021: A paper co-authored by Tanu Mitra was chronicled in the Seattle Times article, “Amazon algorithms promote vaccine misinformation, UW study says,” by Katherine Anne Long.

January 12, 2021: Aylin Caliskan co-authored the paper, “A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild,” in AI and Ethics.

December 26, 2020: Emily M. Bender’s work was mentioned in “AI research survey finds machine learning needs a culture change,” by Khari Johnson in VentureBeat.

September 28, 2020: Bill Howe’s work on the Data, Responsibly project was mentioned in “Comic Book Bridges Gap Around Education in AI, Ethics,” in GovTech, by Lauren Harrison.

August 26, 2020: The National Science Foundation awarded $20 million to the AI Institute for Foundations of Machine Learning, which is co-led by Jamie Morgenstern.

July 24, 2020: Emily M. Bender’s work appeared the VentureBeat article, “AI Weekly: The promise and shortcomings of OpenAI’s GPT-3,” by Khari Johnson.

July 2020: A paper co-authored by Emily M. Bender, “Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data,” won the ‘Best Theme Paper’ award at the Association for Computational Linguistics conference. 

June 8, 2020: A white paper co-authored by Jamie Morgenstern was chronicled in the article “Biometrics experts call for creation of FDA-style government body to regulate facial recognition,” by Chris Burt in Biometrics News.

March 3, 2020: Emily M. Bender was interviewed for the Inside Science article, “A Linguistic Lens on Artificial Intelligence,” by Chris Gorski.

February 4, 2020: Bill Howe was quoted in “The promise of synthetic data” by Anjana Ahuja in the Financial Times.

August 20, 2019: Jamie Morgenstern was quoted in the New York Times article, “How Should Big Tech Be Reined In? Here Are 4 Prominent Ideas,” by Steve Lohr.

March 6, 2019: Jamie Morgenstern discussed a study that she co-authored, “Predictive Inequity in Object Detection,” for the Vox article, “A new study finds a potential risk with self-driving cars: failure to detect dark-skinned pedestrians,” by Sigal Samuel.

February 21, 2019: Bill Howe authored the Op-Ed, “Protect the public from bias in automated decision systems,” in the Seattle Times.

January 14, 2019: A paper co-authored by Bill Howe was chronicled in the UW News article, “Seattle bike share programs show infrequent helmet use, little disparity in access to bikes among neighborhoods,” by Jackson Holtz. The Transportation Data Collaborative, in which Howe is a co-PI, was also mentioned.