AI Now Institute

The DOJ advanced a remedy proposal in the Google search antitrust case that tackles Google’s structural advantages in the AI market. But AI Now’s Kate Brennan cautions on this weekend’s Tech Policy Press Podcast that AI is not going to be a magical fix to search competition. Listen to the conversation with Alissa Cooper, Cristina Caffarra, and David Dinielli: https://lnkd.in/eW92JnrN

In Financial Times, AI Now's Heidy Khlaaf, PhD, MBCS opposes using AI in military contexts, arguing that these applications are too risky to justify. In doing so, she surveys how easily militaries have been procuring & implementing AI admin tools, and warns against classifying these tools as infrastructure––which would allow military organizations to bypass assessments for suitability in mission-critical contexts. https://lnkd.in/eTvrA_hX

What is OpenAI’s business model? Today, we published an article by Brian Merchant tracing OpenAI’s history and current trajectory. Brian argues that OpenAI is leaning on a flimsy presentation of AGI as its eventual business model––despite the lack of evidence it is a real possibility, or a viable profit pathway. Read: https://lnkd.in/eGD4hxhT

New from Jeremy Kahn on the Web Summit: AI Now Institute’s Sarah Myers West argued it isn’t so much that the AI bubble is about to burst - but rather that it may be better for all of us if it did. "West argued that the world could not afford a technology with the energy footprint, appetite for data, and problems around unknown biases that today’s generative AI systems have." https://lnkd.in/exRUVH-s

NEW: We’re launching a newsletter on industrial policy and AI in Europe. A few times a month, we’ll analyze developments in Europe's AI market, track European Commission initiatives, and monitor how Draghi is being implemented. Our first edition reviews the burgeoning China AI arms race narrative in the US, the ramping up of competitiveness and sovereignty narratives in Europe, as well as the risk that boosting defense spending will further securitize AI discourse: Read more: https://lnkd.in/eBhskWiZ

Today, we’re proud to announce the launch of TechTonic Justice (TTJ). TechTonic Justice is a multidimensional, community-based effort to strengthen local justice movements and build long-term power among the people and communities that AI is leaving behind. TechTonic Justice is founded and led by Kevin De Liban, a legal aid lawyer. Prior to launching TechTonic Justice, Kevin De Liban worked as an attorney and the director of advocacy at Legal Aid of Arkansas, where he defeated automated decision-making tools that strip people – particularly low-income people, communities of color and people with disabilities – of their right to access critical resources and support. To mark our launch, we published a report called Inescapable AI: The ways AI decides how low-income people work, learn, live, and survive. The report presents groundbreaking research quantifying the forced use of AI-based decision making onto low-income people in the U.S. In light of another impending Trump administration, AI technologies will only proliferate – across the private sector, and in government use. It is all the more important that we take care of our communities, and protect ourselves from the negative impacts of surveillance and AI use. We hope you’ll join us on this journey. – Read our report: https://lnkd.in/ebnKxcaX – Learn more: https://lnkd.in/eni_UaqY

At Web Summit, Sarah Myers West cautioned that when the AI bubble bursts, we will be left with hollowed out public services like healthcare and education. Watch: https://lnkd.in/e5stnARi

At The GW Competition & Innovation Lab's TEC Institute Summit, in a panel including OpenAI and law firms representing industry interest, AI Now's Amba Kak draws attention to the structural concentration of power in the gen AI market where access to inputs – and any viable path to profit – are dependent on the computing infrastructure and distribution networks of a few big tech firms. She argues that innovation is threatened in such a market, where inputs are defined by choke points and large barriers to entry. Watch more: https://lnkd.in/dKdhD8px

Does generative AI mean Google’s search dominance on its way out? Pressure from AI companies would have us think so - but Kate Brennan argues in Tech Policy Press that in the DOJ case Google’s advantages in search & AI remain the elephant in the room: https://lnkd.in/d6kmY37p

#DOJ’s proposed remedies in the #Google search #antitrust case must solve for the interdependence between the company's search market monopoly and its emerging dominance in generative AI, writes AI Now Institute's Kate Brennan: