mlsanityData to 7 Oct 2026

Responsible Autonomy

arXiv 1706.02513 ↗First posted 8 Jun 2017cs.AIcited by 18

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Abstract (arXiv)

As intelligent systems are increasingly making decisions that directly affect society, perhaps the most important upcoming research direction in AI is to rethink the ethical implications of their actions. Means are needed to integrate moral, societal and legal values with technological developments in AI, both during the design process as well as part of the deliberation algorithms employed by these systems. In this paper, we describe leading ethics theories and propose alternative ways to ensure ethical behavior by artificial systems. Given that ethics are dependent on the socio-cultural context and are often only implicit in deliberation processes, methodologies are needed to elicit the values held by designers and stakeholders, and to make these explicit leading to better understanding and trust on artificial autonomous systems.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 3; 2022: 2; 2023: 6; 2024: 4; 2025: 1; 2026: 2.

18 papers.

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  1. 2023Auditing large language models: a three-layered approachcited by 135
  2. 2021Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulationcited by 19
  3. 2021Ethics of AI: A Systematic Literature Review of Principles and Challengescited by 18
  4. 2024Modulating Language Model Experiences through Frictionscited by 13
  5. 2022System Cards for AI-Based Decision-Making for Public Policycited by 11
  6. 2023Modeling Moral Choices in Social Dilemmas with Multi-Agent Reinforcement Learningcited by 10
  7. 2023Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifestocited by 7
  8. 2024Value Preferences Estimation and Disambiguation in Hybrid Participatory Systemscited by 7
  9. 2023Collaborative filtering to capture AI user's preferences as normscited by 2
  10. 2022Consent as a Foundation for Responsible Autonomycited by 1
  11. 2023AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agentscited by 1
  12. 2023AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledgecited by 1
6 more
  1. 2025Personality-Enhanced Social Recommendations in SAMI: Exploring the Role of Personality Detection in Matchmakingcited by 1
  2. 2026Learning the Value Systems of Agents with Preference-based and Inverse Reinforcement Learningcited by 1
  3. 2021Towards Algorithmic Transparency: A Diversity Perspectivecited by 0
  4. 2024Streamlining Advanced Taxi Assignment Strategies based on Legal Analysiscited by 0
  5. 2024Building Altruistic and Moral AI Agent with Brain-inspired Emotional Empathy Mechanismscited by 0
  6. 2026Learning the Value Systems of Societies with Preference-based Multi-objective Reinforcement Learningcited by 0