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Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
Peter Stone, Rodney Brooks, Erik Brynjolfsson +14
In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial…
Understanding the Representation and Representativeness of Age in AI Data Sets
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer +2
A diverse representation of different demographic groups in AI training data sets is important in ensuring that the models will work for a large range of users. To this end, recent…
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs
Solon Barocas, Anhong Guo, Ece Kamar +5
Disaggregated evaluations of AI systems, in which system performance is assessed and reported separately for different groups of people, are conceptually simple. However, their des…
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
Sandhya Saisubramanian, Shlomo Zilberstein, Ece Kamar
Autonomous agents acting in the real-world often operate based on models that ignore certain aspects of the environment. The incompleteness of any given model -- handcrafted or mac…
Toward Fairness in AI for People with Disabilities: A Research Roadmap
Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan +2
AI technologies have the potential to dramatically impact the lives of people with disabilities (PWD). Indeed, improving the lives of PWD is a motivator for many state-of-the-art A…