Ethics in artificial intelligence: introduction to the special issue

By Virginia Dignum. Ethics and Information Technology, 2018

362 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Safety Research

View Paper: https://www.semanticscholar.org/paper/b700356155318f6c577905c0fa1adb53aa25a270

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In Cognitive Neuroscience

In Safety Research

Citations in the corpus

Seven HCI Grand Challenges (2019, background): “As AI systems are constructed by humans, an approach is to integrate societal, legal and moral values into all the development stages of AI systems, so that AI reasoning takes into account these values, weighs their priorities when it comes to different stakeholders in various multicultural contexts”
Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, background): “Finland Finland’s Age of Artificial Intelligence: Turning Finland into a leading country in the application of artificial intelligence France For a Meaningful Artificial Intelligence: Towards a French and European Strategy Towards an AI Strategy in Mexico: Russia National Strategy for the Developmen”
Trust in AI: progress, challenges, and future directions (2024, neutral): “The relationship between ethics and AI can be summarized into three aspects: ethics by design, ethics in design, and ethics for design (Dignum, 2018).”
Ethics of artificial intelligence and robotics (2020, background): “(Dignum 2018, 1, 2).”
Artificial intelligence in the creative industries: a review (2020, methodology): “Dignum (2018) provide a useful classification of the relationships between ethics and AI, defining three categories: (i) Ethics by Design, methods that ensure ethical behaviour in autonomous systems, (ii) Ethics in Design, methods that support the analysis of the ethical implications of AI systems,…”