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Andreas Tsamados

Biographic Data

ID8444567
NAMEAndreas Tsamados
GIVEN NAMESAndreas
FAMILY NAMETsamados
SIGNATURETSAMADOS A
AFFILIATIONSUniversity of Oxford
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The case for a broader approach to AI assurance: Addressing “hidden” harms in the development of artificial intelligence

    Open Access•Christopher Thomas, Christopher E Thomas et al.•ARTICLE•AI & Society•2025

    Artificial intelligence (AI) assurance is an umbrella term describing many approaches—such as impact assessment, audit, and certification procedures—used to provide evidence that an AI system is legal, ethical, and technically robust. AI assurance approaches largely focus on two overlapping categories of harms: deployment harms that emerge at, or after, the point of use, and individual harms that directly impact a person as an individual. Current…

  • Artificial intelligence in support of the circular economy: Ethical considerations and a path forward

    Open Access•Huw Roberts, Joyce Zhang et al.•ARTICLE•AI & Society•2024

    The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business mo…

  • The AI gambit: Leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

    Open Access•Josh Cowls, Andreas Tsamados et al.•ARTICLE•AI & Society•2023

    In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible…

  • The ethics of algorithms: Key problems and solutions

    Open Access•Andreas Tsamados, Nikita Aggarwal et al.•ARTICLE•AI & Society•2022

    Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mittelstadt et al. Big Data Soc 3(2), 2016). The goals are to contribute to the debate on the identific…

  • Achieving a ‘Good AI Society’: Comparing the Aims and Progress of the EU and the US

    Open Access•Huw Roberts, Josh Cowls et al.•ARTICLE•Science and Engineering Ethics•2021

    Over the past few years, there has been a proliferation of artificial intelligence (AI) strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union (EU) and the United States’ (US) AI strategies and considers (i) the visions of a ‘Good AI Society’ that are forwarded in key policy documents and their opportunity costs…

  • Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations

    Open Access•Mariarosaria Taddeo, Andreas Tsamados et al.•ARTICLE•One Earth•2021

No prominent works on this page.

  • Achieving a ‘Good AI Society’: Comparing the Aims and Progress of the EU and the US

    Open Access•Huw Roberts, Josh Cowls et al.•ARTICLE•Science and Engineering Ethics•2021

    Over the past few years, there has been a proliferation of artificial intelligence (AI) strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union (EU) and the United States’ (US) AI strategies and considers (i) the visions of a ‘Good AI Society’ that are forwarded in key policy documents and their opportunity costs…

  • Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations

    Open Access•Mariarosaria Taddeo, Andreas Tsamados et al.•ARTICLE•One Earth•2021

  • The ethics of algorithms: Key problems and solutions

    Open Access•Andreas Tsamados, Nikita Aggarwal et al.•ARTICLE•AI & Society•2022

    Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016 (Mittelstadt et al. Big Data Soc 3(2), 2016). The goals are to contribute to the debate on the identific…

  • The AI gambit: Leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

    Open Access•Josh Cowls, Andreas Tsamados et al.•ARTICLE•AI & Society•2023

    In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible…

  • Artificial intelligence in support of the circular economy: Ethical considerations and a path forward

    Open Access•Huw Roberts, Joyce Zhang et al.•ARTICLE•AI & Society•2024

    The world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of development has been proposed as a sustainable alternative. Artificial intelligence (AI) is a crucial enabler for CE. It can aid in designing robust and sustainable products, facilitate new circular business mo…

  • The case for a broader approach to AI assurance: Addressing “hidden” harms in the development of artificial intelligence

    Open Access•Christopher Thomas, Christopher E Thomas et al.•ARTICLE•AI & Society•2025

    Artificial intelligence (AI) assurance is an umbrella term describing many approaches—such as impact assessment, audit, and certification procedures—used to provide evidence that an AI system is legal, ethical, and technically robust. AI assurance approaches largely focus on two overlapping categories of harms: deployment harms that emerge at, or after, the point of use, and individual harms that directly impact a person as an individual. Current…

Computer Science (4 works) · Economics (4 works) · Political science (4 works) · Engineering (3 works) · Ethics and Social Impacts of AI (3 works) · Psychology (3 works) · Air Quality Monitoring and Forecasting (2 works) · Artificial Intelligence (2 works) · Business (2 works) · Corporate governance (2 works)

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