Top 10 icai.ai Competitors

arxiv.org

We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in these mechanisms bid non-tradable credits that flow from resource consumers to yielders, like karma. Human subjects recruited on Amazon MTurk are repeatedly and randomly paired to bid karma according to time-varying and stochastic individual preferences or urgency to acquire resources. Treatments varied in the dynamic urgency process (frequent moderate urgency versus sporadic high urgency) and the richness of the bidding scheme (binary versus full range). Results are benchmarked against random allocation, and karma achieves a (almost) Pareto improvement over random, despite the MTurk subjects deviating significantly from the theoretically optimal Nash bidding policy. Maximum improvement is attained by subjects that deviate from Nash by up to one karma bid unit on average, and positive improvement is attained with average deviations of up to 3-4 bid units. These findings hold across all treatments, among which no significant differences are found, with the exception of the sporadic high urgency process with binary bidding treatment being (weakly) favorable over others. These results offer behaviorally robust lower bounds for the expected performance of karma in human populations. They also provide guidance for future testing and implementation of karma mechanisms in the real world.

cltc.berkeley.edu

On October 23rd, the UC Berkeley Center for Long-Term Cybersecurity and Wisconsin Emergency Management were proud to host a packed room of cyber defenders across academia, state government,…

lab.rekimoto.org

Project Assistant Professor Qing Zhang will present their research paper at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) / ACM International Symposium on W…

ai.osu.edu

discover ohio state tools and resources to help faculty, staff and students use artificial intelligence (ai)

github.com

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.

linkedin.com

1 billion members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

kickstart.ai

The Heineken Experience became an AI wonderland at TechDays, KickstartAI's flagship event. Explore key takeaways on scaling AI from industry leaders.

amsterdamai.com

amsterdam loopt in europa voorop in de ontwikkeling en toepassing van responsible ai. de partners van amsterdam ai, technology for people, dragen hieraan bij met baanbrekend onderzoek, vooruitstrevend onderwijs en creatieve, multidisciplinaire samenwerkingen. alles wat we doen is gericht op het mensgericht, eerlijk, rechtvaardig, veilig en betrouwbaar toepassen van ai. amsterdam ai werkt aan responsible ai binnen een groot aantal domeinen, waaronder business innovation, citizens en health.