What is the AI alignment problem and how can it be solved? | New Scientist

Artificial intelligence systems will do what you ask but not necessarily what you meant. The challenge is to make sure they act in line with human’s complex, nuanced values

An Alignment Journal: Features and policies — LessWrong

We previously announced a forthcoming research journal for AI alignment. This cross-post from our blog describes our tentative plans for the features…

AI FOR EPISTEMICS & COORDINATION

Civilization and technology have radically improved the human condition. Nonetheless, the world sometimes goes in directions which essentially nobody would prefer — e.g., nuclear arms races, unexpected financial crashes, predatory marketing, or ubiquitous political misinformation.

Thoughts on AI in academia

PhD-level thinking, LLM bias, alignment, AGI, data centers, and AI politics

Are We Betting on the Wrong Kind of Intelligence?

AI optimizes for the world as it was. Rewilding could be what prepares us for the world as it is.

How Americans see AI impacting human skills; its role in science, matchmaking, religion and more

Majorities don’t want AI to give advice about religion or love. But many say AI should help forecast weather, search for financial crimes, develop medicine and more.

Daniel's Blog · You Don’t Align An AI, You Align With It

The people writing alignment policy are not the people whose work is being replaced by AI.

Inside India’s scramble for AI independence

Structural challenges and the nation’s many languages have made it tough to develop foundational AI models. But the government is keen not to be left behind.

Human perspectives on AI · Global Voices

This GV Spotlight edition will explore how the use of, promotion of, and resistance to artificial intelligence is playing out for the Global Majority.

A Three-Facet Framework for AI Alignment • Grace Kind

Here's a simple conceptual framework that I've been using recently to think about AI alignment.

Position: Towards Bidirectional Human-AI Alignment

Recent advances in general-purpose AI underscore the urgent need to align AI systems with human goals and values. Yet, the lack of a clear, shared understanding of what constitutes "alignment" limits meaningful progress and cross-disciplinary collaboration. In this position paper, we argue that the research community should explicitly define and critically reflect on "alignment" to account for the bidirectional and dynamic relationship between humans and AI. Through a systematic review of over 400 papers spanning HCI, NLP, ML, and more, we examine how alignment is currently defined and operationalized. Building on this analysis, we introduce the Bidirectional Human-AI Alignment framework, which not only incorporates traditional efforts to align AI with human values but also introduces the critical, underexplored dimension of aligning humans with AI – supporting cognitive, behavioral, and societal adaptation to rapidly advancing AI technologies. Our findings reveal significant gaps in current literature, especially in long-term interaction design, human value modeling, and mutual understanding. We conclude with three central challenges and actionable recommendations to guide future research toward more nuanced, reciprocal, and human-AI alignment approaches.

Most Americans say AI development is moving too fast and twice as many are AI pessimists as AI optimists

Young adults are more likely than older Americans to believe that AI will create economic gains that benefit everyone, but they are also more likely to worry that AI will replace jobs they depend upon

The Next Great Divergence: How AI could split the world again if we don’t intervene | Brookings

Michael Muthukrishna and Philip Schellekens argue that AI, like past general-purpose technologies, could drive a new global divergence unless deliberate action ensures its benefits are broadly shared rather than geographically concentrated.