In late 2025, @MITFutureTech researchers conducted a #DelphiStudy to identify the most critical AI-related risks, vulnerable groups, and responsible parties. This year, they shared findings from the @MIT study that surveyed 272 global #AI experts to evaluate 24 AI risks, including likelihood, severity, vulnerability, responsibility, and overall concerns, over the next five years. Among the top risks identified as a result of AI’s influence were market rivalry, weapons, cyberattacks, concentrated and consolidated AI control (economy, healthcare, civic engagement, etc.), the spread of false information, environmental harm, inequality, and unemployment. The experts judged 18 of the 24 risks as having a probability of more than 10%, resulting in catastrophic outcomes (more than 1 million deaths and/or $100 billion in financial losses). General public AI users were judged the most vulnerable to these risks, but experts assigned the highest responsibility for addressing them to general-purpose AI developers and governance professionals from both the public and private sectors. Across most risks, experts identified information, finance, and national security as the most vulnerable sectors, which guide AI risk prioritization and clarify who is accountable for mitigation measures. The biggest threat, in my view, is that the risks are unprecedented and involve too many unknowns to prepare for. As AI systems increasingly influence decisions in healthcare, employment, education, public safety, and democratic processes, it is crucial for citizens to support and actively promote strong human oversight and governance to ensure these systems benefit the public rather than control it. We have a vital role to play in our part of the timeline by building a responsible AI framework, because future generations will only know and act based on what we leave them. Follow #AINowSphere to access relevant #TechNews with clear insights related to AI, cybersecurity, and #EmergingTech topics. cdn.prod.website-files.com/6… #AIGovernance #Automation #EthicalAI #FutureOfWork #InfoSec #Innovation #MIT #MITFutureTech #NatSec #ResponsibleAI

Most AI jobs coverage skips the research. I didn’t: @Gartner: 80% of layoffs show no correlation with ROI @MITFutureTech: Only 23% of AI-exposed work is cost-effective to automate today. @BrookingsIns @GovAIOrg: 86% of workers least likely to adapt are women. The real bottleneck isn’t capability. It’s economics, deliberate design, and governance. substack.com/home/post/p-204… #AI #FutureOfWork #ResponsibleAI

Thank you so much for having me!!! A honor and privilege 🙏🏻

A wealth of incredible AI/economic insights from LEGENDS like @davidautor @mikeroweworks @jasonfurman @oren_cass @elerianm @NBTJacklyn @cooperangieb @wendytanwhite @LisaBRochester @TedBuddNC @Sonderling47 @MITFutureTech more at the link below!!! ⬇️

👀 New @MITAIRisk x @MITFutureTech report: “Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts.” A Metaculus question makes an appearance on p. 17 (link to report in replies)

How can AI reshape the landscape of healthcare and patient outcomes? At the AI for the Economy Forum, co-hosted by Google and @MITFutureTech, Dr. Doug Flora shared how technology is transforming the medical field—augmenting every stage of the patient care continuum. 👇 🧵

Who is most vulnerable to risk from AI? And who is most responsible for addressing them? In our three-round Delphi study with 272 AI experts, we found a clear AI responsibility gap. Experts judged that AI users and affected stakeholders are often the most vulnerable to AI risks. But they assigned primary responsibility for reducing those risks to general-purpose AI developers and governance actors, including governments, regulators, and standards bodies. That matters because the people most exposed to AI harms often have the least power to prevent them. 💡 A few other key findings: 1️⃣ Under business as usual, experts assigned a ≥10% probability of catastrophic outcomes to 18 of 24 AI risk domains over the next 5 years. 2️⃣ Even assuming pragmatic mitigations, 5 risks remained above the 10% catastrophic threshold: dangerous AI capabilities, cyberattacks and weapons, environmental harm, inequality, and power centralization. 3️⃣ Information, finance, and national security were rated the sectors most vulnerable to AI risks. 🔗How can you engage? See our (fancy) new webpage for our interactive summaries of the findings and preprint, and please share with anyone working on AI risk, governance, or policy (links in comments). This research is part of the MIT AI Risk Initiative (@MITAIRisk), which aims to help society understand, prioritize, and manage risks from AI. The initiative includes the MIT AI Risk Repository, a living database of more than 1,700 AI risks, the AI Incident Tracker, a collaboration with the Responsible AI Collaborative, which connects risks to over 1,400 incidents, and the MIT AI Governance Map, which analyzes risk coverage across more than 1,000 laws, standards, policies, and other governance documents curated by the Center for Security and Emerging Technology (CSET). This work was led by Alexander Saeri, Jess Graham, and Michael Noetel (@mnoetel), with a lot of feedback and support from Neil Thompson (@ProfNeilT) at MIT FutureTech (@MITFutureTech) and MIT Sloan @MITSloan. Thanks to the 272 participants, who very generously contributed their expertise to make the findings possible. Webpage: airisk.mit.edu/priorities Paper: cdn.prod.website-files.com/6…

I spent more time than I planned 😅

and those are just the documented ones

that's exactly what a policy copilot would need to help bridging

the gap between 'risk exists' and 'here's what to do about it' is still huge

542 incidents under Malicious Actors alone is a number

the landscape view is addictive

.@MITFutureTech launched the MIT AI Risk Navigator: 1.7k AI risks mapped by cause and domain, with incidents and governance docs attached. Genuinely hard to stop clicking through it haha One of potential use case might be as a foundation for something like a policy copilot to help people in government actually work with the legislative and regulatory side of AI more effectively. Worth checking out: airi-navigator.com

If Republicans fail to pass the SAVE act there will be no Republican Party left.

Spend more time passing the SAVE Act!!!!

Great conversations with researchers and technologists at the inaugural @Google / @MITFutureTech AI for the Economy Forum today. Big opportunity uniting approaches to accurately model the impact of AI on the economy, and the impact of public policy in shaping that relationship.

AI’s benefits and challenges aren’t automatic. Our inaugural AI for the Economy Forum, co-hosted with @MITFutureTech, brings together economists, industry leaders, policymakers and experts for a discussion about how everyone can thrive in this new economy. blog.google/company-news/out…

The winners of this shift will be the ones who pair AI adoption with strong education and workforce pipelines.

At our inaugural AI for the Economy Forum with @MITFutureTech, we brought together economists, industry leaders, policymakers and workforce training experts to discuss AI’s impact on jobs and the economy. We believe that by working together we can navigate the AI transition successfully. We also shared new investments focused on better understanding how AI will change the economy, training and apprenticeships: -A new AI & Economy Research Program to answer pressing questions about AI's impact -New AI training for rural healthcare workers, and new apprenticeships for manufacturing employees -Expanded @GoogleOrg support for researchers exploring public policy solutions