In this interview series, we're meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We hear from Xinwei Song about the two main research threads she's worked on so far, plans to expand her investigations, and what inspired her to study AI. Could you start with a quick introduction - where are you studying, and what is the topic of your research? My research primarily focuses on strategic interactions in networked multi-agent systems. Could you give us an overview of the research you've carried out so far during your PhD? My research to date consists of two main threads, which complement each other in exploring strategic interactions from different perspectives.

'We May Have a Crisis on Our Hands': The Unregulated Rise of Emotionally Intelligent AI Pillay is an editorial fellow at TIME. Pillay is an editorial fellow at TIME. At least once a month, two-thirds of people who regularly use AI turn to their bots for advice on sensitive personal issues and emotional support. Many people now report trusting their chatbots more than their elected representatives, civil servants, faith leaders--and the companies building AI. That's according to data from 70 countries, gathered by the Collective Intelligence Project (CIP).

Large conferences such as NeurIPS and AAAI serve as crossroads of various AI fields, since they attract submissions from a vast number of communities. However, in some cases, this has resulted in a poor reviewing experience for some communities, whose submissions get assigned to less qualified reviewers outside of their communities. An often-advocated solution is to break up any such large conference into smaller conferences, but this can lead to isolation of communities and harm interdisciplinary research.

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