Thinking fast and slow in AI

G Booch, F Fabiano, L Horesh, K Kate… - Proceedings of the …, 2021 - ojs.aaai.org
This paper proposes a research direction to advance AI which draws inspiration from
cognitive theories of human decision making. The premise is that if we gain insights about …

Scruples: A corpus of community ethical judgments on 32,000 real-life anecdotes

N Lourie, R Le Bras, Y Choi - Proceedings of the AAAI Conference on …, 2021 - ojs.aaai.org
As AI systems become an increasing part of people's everyday lives, it becomes ever more
important that they understand people's ethical norms. Motivated by descriptive ethics, a …

Operationalising ethics in artificial intelligence for healthcare: A framework for AI developers

P Solanki, J Grundy, W Hussain - AI and Ethics, 2023 - Springer
Artificial intelligence (AI) offers much promise for improving healthcare. However, it runs the
looming risk of causing individual and societal harms; for instance, exacerbating inequalities …

Teaching AI agents ethical values using reinforcement learning and policy orchestration

R Noothigattu, D Bouneffouf, N Mattei… - IBM Journal of …, 2019 - ieeexplore.ieee.org
Autonomous cyber-physical agents play an increasingly large role in our lives. To ensure
that they behave in ways aligned with the values of society, we must develop techniques that …

[PDF][PDF] We need fairness and explainability in algorithmic hiring

C Schumann, J Foster, N Mattei… - … on Autonomous Agents …, 2020 - par.nsf.gov
Algorithms and machine learning models, including the decisions made by these models,
are becoming ubiquitous in our daily life, including hiring. We make no value judgment …

Axies: Identifying and evaluating context-specific values

E Liscio, MT van der Meer, LC Siebert… - 20th International …, 2021 - research.tudelft.nl
The pursuit of values drives human behavior and promotes cooperation. Existing research is
focused on general (eg, Schwartz) values that transcend contexts. However, context-specific …

Reinforcement Learning and Machine ethics: a systematic review

A Vishwanath, LA Dennis, M Slavkovik - arxiv preprint arxiv:2407.02425, 2024 - arxiv.org
Machine ethics is the field that studies how ethical behaviour can be accomplished by
autonomous systems. While there exist some systematic reviews aiming to consolidate the …

Instilling moral value alignment by means of multi-objective reinforcement learning

M Rodriguez-Soto, M Serramia… - Ethics and Information …, 2022 - Springer
AI research is being challenged with ensuring that autonomous agents learn to behave
ethically, namely in alignment with moral values. Here, we propose a novel way of tackling …

Building ethically bounded AI

F Rossi, N Mattei - Proceedings of the AAAI Conference on Artificial …, 2019 - aaai.org
The more AI agents are deployed in scenarios with possibly unexpected situations, the more
they need to be flexible, adaptive, and creative in achieving the goal we have given them …

Fair contextual multi-armed bandits: Theory and experiments

Y Chen, A Cuellar, H Luo, J Modi… - … on Uncertainty in …, 2020 - proceedings.mlr.press
When an AI system interacts with multiple users, it frequently needs to make allocation
decisions. For instance, a virtual agent decides whom to pay attention to in a group, or a …