The standards and assumptions being established in AI mental healthcare now will not always look like decisions. The moment of construction matters.

To realize a future in which innovation does not come at the cost of care, we must expand our definition of who gets to narrate, predict, and guide the trajectory of health and technology. 

As scientists use AI systems as a proxy for working with students, the future of scientific research itself is at stake.

While AI companions can offer the taste of social connection, they lack the social nutrition that can sustain us long-term, Meryl Ye writes.

Policy Manager Serena Oduro outlines a set of recommendations aimed at the gap between current legislation and the reality of how people engage with chatbots.

As official government accounts release manipulated photos or videos depicting arrests and the use of force, this media begins to influence public understanding — before courts, lawyers, or juries ever evaluate the evidence.

In this series, Ranjit Singh explores how AI systems are being taken up in scientific practice.

An experimental history project helps clarify the promise and the danger of treating AI as a laboratory for the past.

The process of developing local AI ecosystems — self-owned and self-controlled — may offer a path toward sustained self-determined progress for Africa, Teanna Barrett writes.