It genuinely seems like alignment folks, having realized how unscientific term is, are inventing system intent, safety, and security from first principles, which have long been distinct concepts in systems engineering (which I also wrote about in 2023 https://t.co/7IHRgixY9I)— Dr Heidy Khlaaf (هايدي خلاف) (@HeidyKhlaaf) August 24, 2026
Who understands alignment anyway
I remember watching many in the HCI community bristle when in 2016 Michael Jordan wrote a blog post calling for the creation of a new “human-centric engineering discipline.”
Alex Komoroske (Common Tools)
Anthropic Looks At Some Of Its Alignment Problems
Anthropic has given us its assessment of four ‘recent cybersecurity incidents’ involving Claude that happened during cybersecurity evaluations, three of which were previously known.
Lessons from the hacks
Musings on model alignment, what determines safety, and where we go from here.
ADD / XOR / ROL: A non-anthropomorphized view of LLMs
In many discussions where questions of "alignment" or "AI safety" crop up, I am baffled by seriously intelligent people imbuing almost magic...
Deb Raji on Twitter / X
Almost exactly three years ago, in 2023, @alondra gave the keynote @FAccTConference, literally titled "Thick Alignment".This has been so far from a "niche" view! https://t.co/0db7qcM6LB pic.twitter.com/z5FqDz8TUv— Deb Raji (@rajiinio) August 22, 2026
Intent-Based Architecture and Their Risks - Paradigm
Paradigm is a frontier technology investment firm that builds and invests in crypto, AI, robotics, and across new frontiers from the earliest stages.
AI and the Dangerous Fiction of ‘All Lawful Use’
Dunstan Allison-Hope and Iain Levine argue that human rights commitments are essential for all companies selling their products to governments worldwide.
An End-to-End View of AI Safety
In this blog, Rachel Coldicutt OBE, Executive Director, Careful Industries discusses our newly published literature review on the safe adoption of artificial intelligence in engineered systems.
The AI Researcher Who Just Quit Anthropic Says It’s ‘Crunch Time for Humanity’
Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.
Cybersecurity Looks Like Proof of Work Now
The UK's AI Safety Institute recently published Our evaluation of Claude Mythos Preview’s cyber capabilities, their own independent analysis of Claude Mythos which backs up Anthropic's claims that it is …
Cybersecurity Looks Like Proof of Work Now
The UK's AI Safety Institute recently published Our evaluation of Claude Mythos Preview’s cyber capabilities, their own independent analysis of Claude Mythos which backs up Anthropic's claims that it is …
1Password wades into a right-wing mess after funding a Linux project
The controversy surrounds David Heinemeier Hansson, who has posted strident anti-vax and anti-immigrant views.
Safety isn’t safety without a social model (or: dispelling the myth of per se technical safety) — AI Alignment Forum
As an AI researcher who wants to do technical work that helps humanity, there is a strong drive to find a research area that is definitely helpful so…
Human-Centered Artificial Intelligence: Three Fresh Ideas
Human-Centered AI (HCAI) is a promising direction for designing AI systems that support human self-efficacy, promote creativity, clarify responsibility, and facilitate social participation. These human aspirations also encourage consideration of privacy, security, environmental protection, social justice, and human rights. This commentary reverses the current emphasis on algorithms and AI methods, by putting humans at the center of systems design thinking, in effect, a second Copernican Revolution. It offers three ideas: (1) a two-dimensional HCAI framework, which shows how it is possible to have both high levels of human control AND high levels of automation, (2) a shift from emulating humans to empowering people with a plea to shift language, imagery, and metaphors away from portrayals of intelligent autonomous teammates towards descriptions of powerful tool-like appliances and tele-operated devices, and (3) a three-level governance structure that describes how software engineering teams can develop more reliable systems, how managers can emphasize a safety culture across an organization, and how industry-wide certification can promote trustworthy HCAI systems. These ideas will be challenged by some, refined by others, extended to accommodate new technologies, and validated with quantitative and qualitative research. They offer a reframe -- a chance to restart design discussions for products and services -- which could bring greater benefits to individuals, families, communities, businesses, and society.