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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Jonker, C.M. (author), Singh, Munindar P. (author)
Ethics is inherently a multiagent concern. However, research on AI ethics today is dominated by work on individual agents: (1) how an autonomous robot or car may harm or (differentially) benefit people in hypothetical situations (the so-called trolley problems) and (2) how a machine learning algorithm may produce biased decisions or...
conference paper 2020
document
Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Jonker, C.M. (author), Singh, M.P. (author)
Ethics is inherently a multiagent concern. However, research on AI ethics today is dominated by work on individual agents: (1) how an autonomous robot or car may harm or (differentially) benefit people in hypothetical situations (the so-called trolley problems) and (2) how a machine learning algorithm may produce biased decisions or...
conference paper 2020
document
Ajmeri, Nirav (author), Murukannaiah, P.K. (author), Guo, Hui (author), Singh, Munindar P. (author)
We address the problem of designing agents that navigate social norms by selecting ethically appropriate actions. We present Elessar, a framework in which agents aggregate value preferences of users and select ethically appropriate actions through multicriteria decision making in different social contexts. Via simulations, seeded with a survey...
conference paper 2020