An MIT-led team developed a framework for creating “humble” AI systems that reveal when they are not confident in their medical diagnoses or recommendations, and encourage users to gather additional information when the diagnosis is uncertain.

In a new article, researchers introduce the capabilities approach-contextual integrity (CA-CI), a framework that addresses privacy and dignity risks posed by modern artificial intelligence (AI) systems, especially foundation models whose capabilities evolve across contexts and purposes. In a case study, they demonstrate how CA-CI can operationalize the European Union (EU)’s AI Act’s fundamental rights impact assessments, harm thresholds, and anticipatory governance.

Rice University professor Bidong Zhang has received a grant to develop next-generation lunar radiometric dating techniques that will acquire more accurate ages for lunar samples.

In a new study, researchers investigated how AVs may change travel patterns during morning commutes and affect parking in business districts. By providing insights into the changes associated with parking and traffic congestion as the use of AVs rises, the study can inform urban planning efforts.