An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Floridi, Luciano; Cowls, Josh; Beltrametti, Monica; Chatila, Raja; Chazerand, Patrice; Dignum, Virginia; Luetge, Christoph; Madelin, Robert; Pagallo, Ugo; Rossi, Francesca; Schäfer, Burkhard; Valcke, Peggy; Vayena, Effy

doi:10.31235/osf.io/2hfsc

Cited by 86 publications

(124 citation statements)

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“…Much of the current policy discourse surrounding AI in developing countries is in economic and social development where advanced technologies are propounded as solutions for complex developmental scenarios, represented by the growing areas of AI for Good and AI for the Sustainable Development Goals (AI4SDGs) (Vinuesa et al, 2020;Floridi et al, 2018;Tomašev et al, 2020). In this discourse, Green (2019) proposes that "good isnt good enough", and that there is a need to expand the currently limited and vague definitions within the computer sciences of what 'social good' means.…”

Section: Site 5: International Social Developmentmentioning

confidence: 99%

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

2020

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This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. Artificial Intelligence (AI) is viewed as amongst the technological advances that will reshape modern societies and their relations. Whilst the design and deployment of systems that continually adapt holds the promise of far-reaching positive change, they simultaneously pose significant risks, especially to already vulnerable peoples. Values and power are central to this discussion. Decolonial theories use historical hindsight to explain patterns of power that shape our intellectual, political, economic, and social world. By embedding a decolonial critical approach within its technical practice, AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles, centring vulnerable peoples who continue to bear the brunt of negative impacts of innovation and scientific progress. We highlight problematic applications that are instances of coloniality, and using a decolonial lens, submit three tactics that can form a decolonial field of artificial intelligence: creating a critical technical practice of AI, seeking reverse tutelage and reverse pedagogies, and the renewal of affective and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research, making it incumbent upon AI communities to strengthen the social contract through ethical foresight and the multiplicity of intellectual perspectives available to us; ultimately supporting future technologies that enable greater well-being, with the goal of beneficence and justice for all. Keywords decolonisation • coloniality • sociotechnical foresight • intercultural ethics • critical technical practice • artificial intelligence • affective community

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Section: Site 5: International Social Developmentmentioning

confidence: 99%

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

2020

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“…It is important to understand what mechanisms can trigger employees' ethical AI behavior or impede the misuse of AI. Floridi et al [59] have designed a series of actionable plans to financially incentivize ethical use of AI at the organizational level. First, firms should encourage cross-disciplinary cooperation and debate on technological, social, legal aspects of AI.…”

Section: Carrot and Stick Mechanism To Regulate Ai Usagementioning

confidence: 99%

“…For example, H&M has created an Ethical AI Debate Club where cross-functional employees and their customers and AI researchers can meet for debates on ethical concerns and dilemmas arise in the fashion industry. Second, developing an inclusive triadic configuration to capture the complex interactions among ethics, innovation, and policy in confluence, it will help firms to ensure AI has ethics as a core consideration and policy is guided facilitating socially positive innovation [59]. Moreover, punishment plays a key role in affecting employees' ethical AI behavior.…”

Section: Carrot and Stick Mechanism To Regulate Ai Usagementioning

confidence: 99%

Toward an Understanding of Responsible Artificial Intelligence Practices

Wang¹,

Xiong²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Artificial Intelligence (AI) is influencing all aspects of human and business activities nowadays. Although potential benefits emerged from AI technologies have been widely discussed in many current literature, there is an urgently need to understand how AI can be designed to operate responsibly and act in a manner meeting stakeholders' expectations and applicable regulations. We seek to fill the gap by exploring the practices of responsible AI and identifying the potential benefits when implementing responsible AI practices. In this study, 10 responsible AI cases were selected from different industries to better understand the use of responsible AI in practices. Four responsible AI practices are identified, including governance, ethically design solutions, risk control and training and education and five strategies for firms who are considering to adopt responsible AI practices are recommended.

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“…There is little doubt about the great potential, and the disruptive nature of AI. However, in many professional areas, there are still debates about when and where AI technologies are appropriate for use, or indeed, whether they are appropriate at all (Floridi et al, 2018). Education is one of these areas, where AI technologies and their impact are currently not fully investigated.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence and multimodal data in the service of human decision‐making: A case study in debate tutoring

Cukurova¹,

Kent²,

Luckin³

2019

Brit J Educational Tech

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The question: “What is an appropriate role for AI?” is the subject of much discussion and interest. Arguments about whether AI should be a human replacing technology or a human assisting technology frequently take centre stage. Education is no exception when it comes to questions about the role that AI should play, and as with many other professional areas, the exact role of AI in education is not easy to predict. Here, we argue that one potential role for AI in education is to provide opportunities for human intelligence augmentation, with AI supporting us in decision‐making processes, rather than replacing us through automation. To provide empirical evidence to support our argument, we present a case study in the context of debate tutoring, in which we use prediction and classification models to increase the transparency of the intuitive decision‐making processes of expert tutors for advanced reflections and feedback. Furthermore, we compare the accuracy of unimodal and multimodal classification models of expert human tutors' decisions about the social and emotional aspects of tutoring while evaluating trainees. Our results show that multimodal data leads to more accurate classification models in the context we studied.

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An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Cited by 86 publications

References 0 publications

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

Toward an Understanding of Responsible Artificial Intelligence Practices

Artificial intelligence and multimodal data in the service of human decision‐making: A case study in debate tutoring

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