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Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
As artificial agents become increasingly embedded in our society, we must ensure that their behavior aligns with human values. Value alignment entails value inference, the process of identifying values and reasoning about how humans prioritize values. We introduce a holistic framework that connects the technical (AI) components necessary for...
conference paper 2023
document
Chen, P.Y. (author), Tielman, M.L. (author), Heylen, Dirk K.J. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
For personal assistive technologies to effectively support users, they need a user model that records information about the user, such as their goals, values, and context. Knowledge-based techniques can model the relationships between these concepts, enabling the support agent to act in accordance with the user's values. However, user models...
conference paper 2023
document
Jonker, C.M. (author), Murukannaiah, P.K. (author), Verwaart, D. (author)
The bargaining power of prosumers in a market can vary significantly. Participants can range from industrial participants to powerful and less powerful citizens. Existing trade mechanisms in such markets, e.g., in rural India’s energy trade market, show occurrences of discrimination, exclusion, and unfairness. We study how discrimination...
conference paper 2021
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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
Cavalcante Siebert, L. (author), Mercuur, R.A. (author), Dignum, M.V. (author), van den Hoven, M.J. (author), Jonker, C.M. (author)
Autonomous agents (AA) will increasingly be interacting with us in our daily lives. While we want the benefits attached to AAs, it is essential that their behavior is aligned with our values and norms. Hence, an AA will need to estimate the values and norms of the humans it interacts with, which is not a straightforward task when solely...
conference paper 2020
document
Tielman, M.L. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
Personal technology such as electronic partners (e-partners) play an increasing role in our daily lives, and can make an important difference by supporting us in various ways. However, when they offer this support, it is important that they do so with an understanding of our choices and what is important to us. To allow an e-partner to...
conference paper 2019
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