Journalism begins where hype ends

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The danger of AI is not that it will become conscious and hate us, but that it will become competent and ignore us."

—Eliezer Yudkowsky

Amnesty Calls Leading AI Models ‘Unlawful by Design’

Illustration of AI-driven data collection and human influence.

Amnesty International said leading AI models rely on unlawful web scraping and pose risks to privacy, human rights and the environment. The group urged governments to prohibit systems built using such practices.

Nvidia’s Jensen Says AI Won’t Kill Jobs. Data Says Otherwise

Nvidia's Jensen Huang dismissed fears of job loss due to AI.

AI is causing more software engineers to be hired, insists Huang even as Q1 2026 saw over 100,000 tech jobs slashed.

AI Hiring Tools Show Racial Bias, Reject Same Applicants: Study

A study by Stanford HAI showed Black and Asian applicants were disproportionately screened by systems that discriminated against their group.

As per study, Black and Asian applicants were disproportionately screened by systems that discriminated against their group.

Nvidia CEO Jensen Huang to Join Beijing’s Tsinghua University Board

Nvidia CEO Jensen Huang is likely to join the advisory board of Beijing's Tsinghua University School of Economics and Management

Nvidia CEO Jensen Huang is likely to join the advisory board of Tsinghua University’s business school, chaired by Apple’s Tim Cook

AI Grading University Essays Often Inaccurate, Cambridge Study Finds

Leading AI models matched human-awarded grades only about half the time in a Cambridge-led study of 761 undergraduate essays. (Representative image)

A Cambridge-led study put leading AI models to work grading 761 undergraduate psychology essays — and found they matched human examiners only about half the time

Cambridge Researchers Warn AI Essay Grading Could Produce ‘Homogenised’ Results and ‘Underestimate Brilliance’

University of Cambridge-led study found that AI systems often failed to accurately assess top and low-performing university essays, with researchers warning that current models remain too inconsistent for independent grading.

University of Cambridge-led study found that AI systems often failed to accurately assess top and low-performing university essays, with researchers warning that current models remain too inconsistent for independent grading.

“Anxiety Helps No One, World Still Has Real Problems to Solve”: IIT-Delhi Director on AI Related Fears

In an exclusive interview with AI FrontPage, IIT Delhi Director Professor Rangan Banerjee shares his insights on AI.

IIT Delhi Director Prof. Rangan Banerjee in an exclusive interview with AI FrontPage says the answer to AI anxiety isn’t fear.

Australia’s Classroom AI Crisis: Cheating, Learning Loss and No Easy Fix

Surveying 4,143 educators across New South Wales, Australia, the study found students are using AI to outsource their thinking rather than learn.

A new study by Australian education research group Learning First has warned that AI is already disrupting classrooms and the risks to student learning are no longer a future concern.

NeurIPS 2026 Creative AI Track Puts ‘Agency’ at the Centre

The NeurIPS 2026 annual conference will be held in Sydney, Australia from December 6-12.

The Creative AI Track at NeurIPS 2026 is calling for artworks and papers that examine how agency emerges, is shared, contested or constrained when humans and AI systems make things together.

Over a Third US Students Use Gen AI, 9.3% Admit Cheating: Study

A new SERU Consortium study of more than 95,000 US undergraduates finds that 37.1% use generative AI tools almost monthly, with a notable gender gap in frequency of use. (Representational image)

According to the study 37.1 percent of students reported using generative AI tools almost monthly while 9.3 percent admitted to using it for cheating.