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 …

Human‐centered design of artificial intelligence

G Margetis, S Ntoa, M Antona… - Handbook of human …, 2021 - Wiley Online Library
This chapter focuses on describing how the human‐centered design (HCD) process can be
revisited and expanded in an artificial intelligence (AI) context, proposing a methodological …

[HTML][HTML] A deep dive into metacognition: Insightful tool for moral reasoning and emotional maturity

SK Negi, Y Rajkumari, M Rana - Neuroscience Informatics, 2022 - Elsevier
The impact of metacognition on pupils' moral ideals and emotional development was
investigated as well as it highlights on a collaborative research between metacognition and …

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 …

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 …

Incorporating behavioral constraints in online AI systems

A Balakrishnan, D Bouneffouf, N Mattei… - Proceedings of the AAAI …, 2019 - ojs.aaai.org
AI systems that learn through reward feedback about the actions they take are increasingly
deployed in domains that have significant impact on our daily life. However, in many cases …

[PDF][PDF] Multi-Objective Reinforcement Learning for Designing Ethical Environments.

M Rodriguez-Soto, M Lopez-Sanchez… - IJCAI, 2021 - researchgate.net
AI research is being challenged with ensuring that autonomous agents learn to behave
ethically, namely in alignment with moral values. A common approach, founded on the …

[HTML][HTML] Modeling the effect of implementation of artificial intelligence powered image analysis and pattern recognition algorithms in concrete industry

A Waqar, N Bheel, BA Tayeh - Developments in the Built Environment, 2024 - Elsevier
AI-powered image analysis and pattern recognition algorithms (IAPRA) are renowned for
their capacity to identify concrete flaws, assess strength characteristics, and anticipate the …