Online algorithms are designed to make decisions sequentially, without complete knowledge of future inputs. In many real-world applications—from scheduling and resource allocation to network ...

The field of online algorithms focuses on developing and analyzing such systems, and ensuring that they are "competitive" against the best solution in hindsight. While online algorithms have been ...

Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events.

Lee, the inventor of the world wide web, has warned that addictive algorithms driving online polarisation should be made ...

The event, titled “Annenberg Conversations on Gender: From Algorithm Audits to Accountability,” featured conversation about implicit biases in Google Image Search results.

A bill aimed at safeguarding children's mental and behavioral health from addictive social media algorithms and harmful online content has successfully passed.

How social media algorithms warp our perceptions A key question is what can be done to make algorithms foster accurate human social learning rather than exploit social learning biases.

Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other. One result is more conflict and misinformation.