Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Ethical governance is essential to building trust in robotics and artificial intelligence systems

7 references·16 citing·41 second hop

FromToDepth

this work references cited by second hop

References

2015The second machine age: work, progress, and prosperity in a time of brilliant technologies4,380 cited
2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
2021Fourth Industrial Revolution1,569 cited
2016The social dilemma of autonomous vehicles1,520 cited
2004See-through Science: Why public engagement needs to move upstream785 cited
2006The Nature, Importance, and Difficulty of Machine Ethics704 cited

Cited by

2019The Role and Limits of Principles in AI Ethics399 cited
2023AI governance: themes, knowledge gaps and future agendas319 cited
2022Defining organizational AI governance298 cited
2021Trusting Automation: Designing for Responsivity and Resilience298 cited
2022To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts274 cited
2021Ethics as a Service: A Pragmatic Operationalisation of AI Ethics272 cited
2020Governing Artificial Intelligence to benefit the UN Sustainable Development Goals264 cited
2021

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Governing AI safety through independent audits

249 cited

2020Trust in Robots: Challenges and Opportunities223 cited

2020Ethical issues in service robotics and artificial intelligence222 cited

2019Machine Ethics: The Design and Governance of Ethical AI and Autonomous Systems [Scanning the Issue]217 cited

2021A Review of Trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions208 cited

2022Governance of artificial intelligence: A risk and guideline-based integrative framework196 cited

2022User trust in artificial intelligence: A comprehensive conceptual framework171 cited

2020Towards ethical and socio-legal governance in AI156 cited

2020Artificial intelligence in the water domain: Opportunities for responsible use143 cited