Plans have been made for the AI-based program to begin trials before the year ends. But it raises serious questions about the role of police in preventing domestic violence.
Undergraduate programs are springing up across the US to meet the burgeoning demand for workers trained in big data. Yet many of the programs lack training in the ethical use of data science.
Politicians of all stripes, computer professionals and even big-tech executives are calling on government to hit the brakes on using these algorithms. The feds are hitting the gas.
The Federal Trade Commission is rattling its saber at the technology industry over growing public concern about biased AI algorithms. Can the agency back up its threats?
Search engines, like social media algorithms, get you to click on links by learning what other people click on. Enticing misinformation often comes out on top.
Some AI systems make faulty assumptions about women and nonwhite men, which can lead to misdiagnoses. Overcoming this bias takes legal, regulatory and technical fixes.
By letting machines recommend movies and decide whom to hire, humans are losing their unpredictable nature – and possibly the ability to make everyday judgments, as well.
If the historical data used to train an AI system disadvantages certain minority groups, the system can be swayed to follow these patterns in its own decision-making process.
A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there’s growing concern.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
An AI trained to look at heart scans was able to successfully predict risk of death. But one expert cautions we still need to be careful about designing – and using – AI for medical diagnosis.
James P. Jimirro Professor of Media Effects, Co-Director, Media Effects Research Laboratory, & Director, Center for Socially Responsible AI, Penn State
Professor, Computing and Information Systems, Pro Vice-Chancellor (Research Systems), and Pro Vice-Chancellor (Digital & Data), The University of Melbourne