artificial intelligence researchers

The New York Times reports on the reasons behind China's skepticism toward international appeals for artificial intelligence safety cooperation. The piece examines how Chinese officials and researchers view Western-led AI safety campaigns, and what that divide means for global efforts to govern rapidly advancing AI systems. Details beyond the headline are limited.

Artificial intelligence is making law firms significantly more efficient, but corporate clients are now questioning why their legal bills have not dropped accordingly. The New York Times reports that clients expect savings from faster document review and research to be passed on to them, putting pressure on firms' traditional billable-hour models and sparking debate over who benefits from A.I.-driven productivity gains.

AI researcher and Coursera co-founder Andrew Ng says fears that artificial intelligence could drive humanity extinct are 'science fiction'. He argues that speculation about existential AI risk distracts from concrete near-term issues such as bias, job displacement and concentration of power, and that regulators should focus on real harms of deployed systems rather than distant hypothetical scenarios.

A Brookings Institution researcher argues that the current AI buildout will amount to the largest infrastructure investment bet in United States history, surpassing previous eras of massive spending on railroads, highways, and telecommunications. The claim underscores the enormous scale of capital flowing into data centers, chips, and energy capacity to support artificial intelligence development.

The Wall Street Journal profiles the AI 'doomers' — researchers and commentators who warn that advanced artificial intelligence could pose existential risks to humanity. The piece traces how their arguments moved from fringe concerns to mainstream influence, shaping policy debates, corporate safety teams, and public anxiety about runaway AI. The title quote suggests their core message: once transformative AI arrives, the world will fundamentally change and calm reassurances will no longer apply.

Researchers have used artificial intelligence to interpret the chemical signals that tell cells in a developing embryo what type of cell to become, according to a report by Earth.com. The work suggests AI can help biologists read the molecular instructions that guide early development. Details beyond the headline, including the research team and publication, were not provided.

An AI researcher is warning that the real threat from artificial intelligence is not science-fiction robot uprisings but the gradual erosion of democracy, as automated systems and AI-driven misinformation weaken public discourse, institutions and trust in elections. The warning pushes back against sensational framings of AI risk, arguing that subtle damage to democratic processes deserves more urgent attention than Hollywood-style doomsday scenarios.

Scientists are reported to be working on bringing back the woolly mammoth, with artificial intelligence playing a role in the de-extinction effort. The claim, reported by the New York Post, suggests AI tools are being used to advance research into resurrecting the extinct species. The project would mark a major step in genetic engineering and conservation science if successful.

The Yuelu Conference 2026 opened in Changsha, Hunan Province, China, on September 23–24, bringing together artificial intelligence companies, robotics developers, researchers and investors. The event featured an opening ceremony and ten themed "AI+" forums focused on applying artificial intelligence across industries, positioning Changsha as a growing hub for China's AI and robotics sectors.

A new study examines whether artificial intelligence systems could experience pain, a question that touches on machine consciousness and ethics. Researchers are weighing whether AI responses that mimic suffering reflect genuine experience or statistical pattern-matching. The work has drawn attention as AI systems grow more sophisticated, prompting debate about how society should treat machines that appear to express distress.

Mathematician Terence Tao has announced the formation of an Advisory Group on Mathematics and Artificial Intelligence, publishing the news on his personal blog. The group is intended to examine how AI is reshaping mathematical research and to advise the community on its use. The announcement is drawing wide attention among mathematicians and technologists debating AI's growing role in fundamental science.

Universities worldwide are grappling with how to integrate artificial intelligence tools into teaching without eroding students' critical thinking skills. The debate covers how AI can support learning and research while institutions weigh academic integrity, assessment design, and the risk of over-reliance on automated tools, with statistics cited on adoption rates across higher education.

A BBC report highlights that many artificial intelligence researchers and industry workers reject claims that advanced AI could threaten human extinction. While some prominent figures warn of catastrophic risks, others in the field consider such scenarios exaggerated, pointing instead to nearer-term concerns like bias, misinformation and job displacement. The divide reflects a growing split within the AI community over how serious existential risk really is.

OpenAI has announced the creation of an Advisory Group on Mathematics and Artificial Intelligence, according to a post on the company's website. The announcement suggests the group will examine how AI systems interact with mathematical research and practice. Details about the group's members, mandate and first projects have not been widely reported yet, so discussion is mostly about the announcement itself and what such an advisory body might do.

New research shows Singaporeans are among the most willing consumers to let an artificial intelligence agent shop on their behalf, yet they also call for the toughest safeguards around how such systems operate. The findings highlight a tension between enthusiasm for AI-powered convenience and concerns over privacy, spending control and accountability in automated purchases.

OpenAI's original 2015 introduction post is circulating again, drawing renewed attention on tech discussion forums. The old announcement describes the nonprofit research lab's mission to develop artificial intelligence for the benefit of humanity. Readers are revisiting the text in light of how dramatically the company's scale, structure and prominence have changed since then.