College Students Flock to a New Major: A.I.; The New York Times, December 1, 2025

 Natasha Singer, The New York Times; College Students Flock to a New Major: A.I.

"Artificial intelligence is the hot new college major...

Now interest in understanding, using and learning how to build A.I. technologies is soaring, and schools are racing to meet rising student and industry demand.

Over the last two years, dozens of U.S. universities and colleges have announced new A.I. departments, majors, minors, courses, interdisciplinary concentrations and other programs.

In 2022, for instance, the Massachusetts Institute of Technology created a major called “A.I. and decision-making.” Students in the program learn to develop A.I. systems and study how technologies like robots interact with humans and the environment. This year, nearly 330 students are enrolled in the program — making A.I. the second-largest major at M.I.T. after computer science.

“Students who prefer to work with data to address problems find themselves more drawn to an A.I. major,” said Asu Ozdaglar, the deputy dean of academics at the M.I.T. Schwarzman College of Computing. Students interested in applying A.I. in fields like biology and health care are also flocking to the new major, she added."

Global South voices ‘marginalised in AI Ethics’; Gates Cambridge, June 27, 2025

Gates Cambridge; Global South voices ‘marginalised in AI Ethics’

"A Gates Cambridge Scholar is first author of a paper how AI Ethics is sidelining Global South voices, reinforcing marginalisation.

The study, Distributive Epistemic Injustice in AI Ethics: A Co-productionist Account of Global North-South Politics in Knowledge Production, was published by the Association for Computing Machinery and is based on a study of nearly 6,000 AI Ethics publications between 1960 and 2024. Its first author is Abdullah Hasan Safir [2024 – pictured above], who is doing a PhD in Interdisciplinary Design. Other co-authors include Gates Cambridge Scholars Ramit Debnath[2018] and Kerry McInerney [2017].

The findings were recently presented at the ACM’s FAccT conference, considered one of the top AI Ethics conferences in the world. They show that experts from the Global North currently legitimise their expertise in AI Ethics through dynamic citational and collaborative practices in knowledge production within the field, including co-citation and institutional of AI Ethics."

RIP American innovation; The Washington Post, May 12, 2025

 Bina Venkataraman, The Washington Post; RIP American innovation

"That U.S. businesses have led the recent revolution in artificial intelligence is owed to the decades of research supported by the U.S. government in computing, neuroscience, autonomous systems, biology and beyond that far precedes those companies’ investments. Virtually the entire U.S. biotech industry — which brought us treatments for diabetes, breast cancer and HIV — has its roots in publicly funded research. Even a small boost to NIH funding has been shown to increase overall patents for biotech and pharmaceutical companies...

Giving out grants for what might look frivolous or wasteful on the surface is a feature, not a bug, of publicly funded research. Consider that Agriculture Department and NIH grants to study chemicals in wild yamsled to cortisone and medical steroids becoming widely affordable. Or that knowing more about the fruit fly has aided discoveries related to human aging, Parkinson’s disease and cancer.

For obvious reasons, companies don’t tend to invest in shared scientific knowledge that then allows lots of innovation to flourish. That would mean spending money on something that does not reap quick rewards just for that particular company.

Current business trends are more likely to help kill the U.S. innovation engine. A growing share of the country’s research and development is now being carried out by big, old companies, as opposed to start-ups and universities — and, in the process, the U.S. as a whole is spending more on R&D without getting commensurately more economic growth."