Computer Says Maybe

Alix Dunn from Ada Lovelace Institute talks about FAccT conference and papers presented. Topics include AI model marketplaces moderation, algorithmic bias in policing, AI auditing laws, responsibility in AI supply chains, disgorgement of data for models, and surveillance concerns for AI technology.

In this episode, we speak with Dr. Kate Sim, one of the core organisers of the Google Worker Sit-In Against Project Nimbus. Dr. Kate Sim was recently fired, alongside almost 50 other employees, from Google after helping organize a sit-in protesting Project Nimbus, a joint contract between Google and Amazon to provide technology to the Israeli government and military. In this episode, Alix and Dr. Sim discuss technology-enabled violence, Dr. Sim's work in trust and safety, and Google's cancelled project Maven. They also talk about Dr. Sim's journey into protesting Project Nimbus, the many other voices fighting against the contract, and how Big Tech often obfuscates its responsibility in perpetuating violence. In the end, we arrive at a common lesson: solidarity is our main hope for change. This episode is hosted by Alix Dunn and our guest is Dr. Kate Sim. Further Reading No Tech For Apartheid What is Project Nimbus, and why are Google workers protesting Israel deal? Israeli Weapons Firms Required to Buy Cloud Services From Google and Amazon The Palestine Laboratory: How Israel Exports the Technology of Occupation Around the World 3 Years After the Project Maven Uproar, Google Cozies to the Pentagon How Big Tech and Silicon Valley are Transforming the Military-Industrial Complex Google Fired Us for Protesting Its Complicity in the War on Gaza. But We Won’t Be Silenced. Computer Says Maybe Newsletter - Protesting Project Nimbus

Experts in AI systems and tech labor discuss the evolving jobs in the AI industry, labor conditions, and who benefits. Topics include content moderation challenges, AI supply chain labor issues, and the human cost of consumer technology. Personal experiences and advocacy for better labor standards are highlighted.

In this episode, we walk through how misinformation and disinformation has been used in past elections to impact outcomes, where we think AI might make a material difference in how elections play out this year, and where we think responsibility lies for the situation we’re in.This episode is hosted by Alix Dunn and Prathm Juneja, and guests include Sam Gregory, Josh Lawson, and Claire Wardle.If you have feedback about the episode or a pet subject that you might want to join forces to develop into an episode, please reach out. You can email team@saysmaybe.com or share an audio note here: speakpipe.com/saysmaybe--Further ReadingAcademic Articles KOSA isn’t designed to help kids, by danah boyd Techno-legal Solutionism: Regulating Children’s Online Safety in the United StatesA review and provocation: On polarization and platforms How to Prepare for the Deluge of Generative AI on Social MediaExposure to the Russian Internet Research Agency foreign influence campaign on Twitter in the 2016 US election and its relationship to attitudes and voting behaviorNegative Downstream Effects of Alarmist Disinformation Discourse: Evidence from the United States | Political BehaviorNews Articles Voter Suppression Has Gone Digital Big Tech rolls back misinformation measures ahead of 2024Big Tech Backslide: How Social-Media Rollbacks Endanger Democracy Ahead of the 2024 Elections Murthy v. Missouri (Formerly Missouri v. Biden) FCC votes to outlaw scam robocalls that use AI-generated voicesOther Links How OpenAI is approaching 2024 worldwide elections OII | How Data and Artificial Intelligence are Actually Transforming American Elections