Macro Ethics Principles for Responsible AI Systems: Taxonomy and Directions

J Woodgate, N Ajmeri - ACM Computing Surveys, 2024 - dl.acm.org
Responsible AI must be able to make or support decisions that consider human values and
can be justified by human morals. Accommodating values and morals in responsible …

Wasabi: A conceptual model for trustworthy artificial intelligence

AM Singh, MP Singh - Computer, 2023 - ieeexplore.ieee.org
The expansion of artificial intelligence (AI) into our lives and livelihoods makes it clear that
we must develop AI to be ethical and trustworthy. We propose Wasabi, a novel conceptual …

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 …

[HTML][HTML] Aggregating value systems for decision support

RX Lera-Leri, E Liscio, F Bistaffa, CM Jonker… - Knowledge-Based …, 2024 - Elsevier
We adopt an emerging and prominent vision of human-centred Artificial Intelligence that
requires building trustworthy intelligent systems. Such systems should be capable of dealing …

[PDF][PDF] Modeling moral choices in social dilemmas with multi-agent reinforcement learning

E Tennant, S Hailes, M Musolesi - Proceedings of the Thirty-Second …, 2023 - cris.unibo.it
Abstract Practical uses of Artificial Intelligence (AI) in the real world have demonstrated the
importance of embedding moral choices into intelligent agents. They have also highlighted …

Conceptual framework for autonomous cognitive entities

D Shapiro, W Li, M Delaflor, C Toxtli - arXiv preprint arXiv:2310.06775, 2023 - arxiv.org
The rapid development and adoption of Generative AI (GAI) technology in the form of
chatbots such as ChatGPT and Claude has greatly increased interest in agentic machines …

Minimum levels of interpretability for artificial moral agents

A Vijayaraghavan, C Badea - AI and Ethics, 2024 - Springer
As artificial intelligence (AI) models continue to scale up, they are becoming more capable
and integrated into various forms of decision-making systems. For models involved in moral …

Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment

P Vamplew, CF Hayes, C Foale, R Dazeley… - arXiv preprint arXiv …, 2024 - arxiv.org
Reinforcement learning (RL) is a valuable tool for the creation of AI systems. However it may
be problematic to adequately align RL based on scalar rewards if there are multiple …

Trust, trustworthiness and AI governance

C Lahusen, M Maggetti, M Slavkovik - Scientific Reports, 2024 - nature.com
An emerging issue in AI alignment is the use of artificial intelligence (AI) by public
authorities, and specifically the integration of algorithmic decision-making (ADM) into core …

Towards interactive reinforcement learning with intrinsic feedback

B Poole, M Lee - Neurocomputing, 2024 - Elsevier
Reinforcement learning (RL) and brain–computer interfaces (BCI) have experienced
significant growth over the past decade. With rising interest in human-in-the-loop (HITL) …