Advanced AI could unlock an era of enlightened and competent government action. But without smart, active investment, we’ll squander that opportunity and barrel blindly into danger. Executive summary See also a summary on Twitter / X. The US federal government is falling behind the private sector on AI adoption. As AI improves, a growing gap would leave the government unable to effectively respond to AI-driven existential challenges and threaten the legitimacy of its democratic institutions. A dual imperative → Government adoption of AI can’t wait. Making steady progress is critical to: * Boost the government’s capacity to effectively respond to AI-driven existential challenges * Help democratic oversight keep up with the technological power of other groups * Defuse the risk of rushed AI adoption in a crisis → But hasty AI adoption could backfire. Without care, integration of AI could: * Be exploited, subverting independent government action * Lead to unsafe deployment of AI systems * Accelerate arms races or compress safety research timelines Summary of the recommendations 1. Work with the US federal government to help it effectively adopt AI Simplistic “pro-security” or “pro-speed” attitudes miss the point. Both are important — and many interventions would help with both. We should: * Invest in win-win measures that both facilitate adoption and reduce the risks involved, e.g.: * Build technical expertise within government (invest in AI and technical talent, ensure NIST is well resourced) * Streamline procurement processes for AI products and related tech (like cloud services) * Modernize the government’s digital infrastructure and data management practices * Prioritize high-leverage interventions that have strong adoption-boosting benefits with minor security costs or vice versa, e.g.: * On the security side: investing in cyber security, pre-deployment testing of AI in high-stakes areas, and advancing research on mitigating the ris

Our Mission: To build a multidisciplinary field around using technology—especially AI—to improve the lives of nonhumans now and in the future.  Overview Background This hybrid conference had nearly 550 participants and took place March 1-2, 2025 at UC Berkeley. It was organized by AI for Animals for $74k by volunteer core organizers Constance Li, Sankalpa Ghose, and Santeri Tani.  This conference has evolved since 2023: * The 1st conference mainly consisted of philosophers and was a single track lecture/panel. * The 2nd conference put all lectures on one day and followed it with 2 days of interactive unconference sessions happening in parallel and a week of in-person co-working. * This 3rd conference had a week of related satellite events, free shared accommodations for 50+ attendees, 2 days of parallel lectures/panels/unconferences, 80 unique sessions, of which 32 are available on Youtube, Swapcard to enable 1:1 connections, and a Slack community to continue conversations year round. We have been quickly expanding this conference in order to prepare those that are working toward the reduction of nonhuman suffering to adapt to the drastic and rapid changes that AI will bring.  Luckily, it seems like it has been working!  This year, many animal advocacy organizations attended (mostly smaller and younger ones) as well as newly formed groups focused on digital minds and funders who spanned both of these spaces. We also had more diversity of speakers and attendees which included economists, AI researchers, investors, tech companies, journalists, animal welfare researchers, and more. This was done through strategic targeted outreach and a bigger team of volunteers.  Outcomes On our feedback survey, which had 85 total responses (mainly from in-person attendees), people reported an average of 7 new connections (defined as someone they would feel comfortable reaching out to for a favor like reviewing a blog post) and of those new connections, an average of 3

We are excited to share a summary of our 2025 strategy, which builds on our work in 2024 and provides a vision through 2027 and beyond! Background Giving What We Can (GWWC) is working towards a world without preventable suffering or existential risk, where everyone is able to flourish. We do this by making giving effectively and significantly a cultural norm. Focus on pledges Based on our last impact evaluation[1], we have made our pledges –  and in particular the 🔸10% Pledge – the core focus of GWWC’s work.[2] We know the 🔸10% Pledge is a powerful institution, as we’ve seen almost 10,000 people take it and give nearly $50M USD to high-impact charities annually. We believe it could become a norm among at least the richest 1% — and likely a much wider segment of the population — which would cumulatively direct an enormous quantity of financial resources towards tackling the world’s most pressing problems.  We initiated this focus on pledges in early 2024, and are doubling down on it in 2025. In line with this, we are retiring various other initiatives we were previously running and which are not consistent with our new strategy. Introducing our BHAG We are setting ourselves a long-term Big Hairy Audacious Goal (BHAG) of 1 million pledgers donating $3B USD to high-impact charities annually, which we will start working towards in 2025. 1 million pledgers donating $3B USD to high-impact charities annually would be roughly equivalent to ~100x GWWC’s current scale, and could be achieved by 1% of the world’s richest 1% pledging and giving effectively. Achieving this would imply the equivalent of nearly 1 million lives being saved[3] every year. See the BHAG FAQ for more info. Working towards our BHAG Over the coming years, we expect to test various growth pathways and interventions that could get us to our BHAG, including digital marketing, partnerships with aligned organisations, community advocacy, media/PR, and direct outreach to potential pledgers. We thin