Articlehybrid2018

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

Alan F. T. Winfield · Marina Denise Jirotka

491 citations0/0 files storedPhilosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Ethics and Social Impacts of AI Digitalization, Law, and Regulation Innovation, Sustainability, Human-Machine Systems

Abstract

This paper explores the question of ethical governance for robotics and artificial intelligence (AI) systems. We outline a roadmap-which links a number of elements, including ethics, standards, regulation, responsible research and innovation, and public engagement-as a framework to guide ethical governance in robotics and AI. We argue that ethical governance is essential to building public trust in robotics and AI, and conclude by proposing five pillars of good ethical governance.This article is part of the theme issue 'Governing artificial intelligence: ethical, legal, and technical opportunities and challenges'.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 491 citations exist upstream.

References

2015The second machine age: work, progress, and prosperity in a time of brilliant technologies 2017Semantics derived automatically from language corpora contain human-like biases 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability 2021Fourth Industrial Revolution 2016The social dilemma of autonomous vehicles 2004See-through Science: Why public engagement needs to move upstream 2006The Nature, Importance, and Difficulty of Machine Ethics

Cited by

2019The Role and Limits of Principles in AI Ethics 2023AI governance: themes, knowledge gaps and future agendas 2021Trusting Automation: Designing for Responsivity and Resilience 2022Defining organizational AI governance 2022To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts 2021Ethics as a Service: A Pragmatic Operationalisation of AI Ethics 2020

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.