View source for Creating Collective Intelligence in Natural and Artificial Systems

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<big>'''organized by Melanie Mitchell (SFI), Melanie Moses (UNM; SFI), and Tyler Millhouse (SFI)'''<br>
'''August 31 - September 2, 2021'''<br> </big>

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'''Meeting description''':  This workshop is the third in a series of meetings at SFI on the foundations of intelligence, a project sponsored by the National Science foundation. Emergent behavior in groups of interacting agents is an important topic to many in the SFI community. Of particular interest for
the proposed workshop is the capacity of groups (e.g., of people, of ants, or of machines) to exhibit intelligence. The workshop will bring together researchers who study collective intelligence in different ways and in different disciplines. The goal of the workshop is to gain insights into the nature of intelligence, to foster collaboration between researchers in collective intelligence, and to discover how an understanding of collective intelligence can advance AI and
empower us to address important social and ethical challenges. Speakers will be asked to address the following questions:<br>

• What mechanisms enable collective intelligence to emerge (e.g., in social insects and swarm robotics), and how can they inform collective AI?<br>
• Which frontier of AI research best supports large-scale scientific or social efforts to address complex problems such as climate change or epidemic control, and how can we identify this frontier?<br>
• What can facilitate productive interactions between humans and machines—for example, what kinds of interfaces, algorithmic transparency, or algorithmic explainability promote productive collaborative intelligence between humans and machines?<br> • How can we develop a collaborative intelligence that promotes values such as fairness, particularly at large scale?