How AI can be a force for good

Taddeo, Mariarosaria; Floridi, Luciano

doi:10.1126/science.aat5991

Cited by 337 publications

(171 citation statements)

References 12 publications

(12 reference statements)

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“…Especially economic incentives are easily overriding commitment to ethical principles and values. This implies that the purposes for which AI systems are developed and applied are not in accordance with societal values or fundamental rights such as beneficence, non-maleficence, justice, and explicability (Taddeo and Floridi 2018;Pekka et al 2018).…”

Section: Resultsmentioning

confidence: 99%

The Ethics of AI Ethics: An Evaluation of Guidelines

2020

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Current advances in research, development and application of artificial intelligence (AI) systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the "disruptive" potentials of new AI technologies. Designed as a comprehensive evaluation, this paper analyzes and compares these guidelines highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, I also examine to what extent the respective ethical principles and values are implemented in the practice of research, development and application of AI systems -and how the effectiveness in the demands of AI ethics can be improved.

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Section: Resultsmentioning

confidence: 99%

The Ethics of AI Ethics: An Evaluation of Guidelines

2020

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“…Moreover, ethically, it is not always clear where the responsibility for the performance and behaviour of such algorithms lie as they are constructed and implemented by numerous actors including designers, end-users and developers of both the hardware and software required. This issue has been termed 'distributed agency' that may need to be addressed by novel moral and legal frameworks (Taddeo and Floridi, 2018).…”

Section: The Potential Strengths and Limitations Of Machine Learningmentioning

confidence: 99%

Artificial or intelligent? Machine learning and medical selection: possibilities and risks

Tiffin¹,

Paton²

2018

MedEdPublish

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Machine learning approaches form the basis of "artificial intelligence" and have been increasingly applied in health services settings. It has been shown that such approaches may produce more accurate predictions in some contexts, compared to conventional statistical approaches, and may also reduce the costs of decision-making through automation. Nevertheless, there are both general limitations to developing and implementing machine learning approaches that must be borne in mind. To date, relatively little research has been published on the potential for machine learning to support personnel selection. Moreover, there are particular challenges and issues that need to be considered if such methods are to be used to support decision-making in medical selection scenarios. This article describes some of these potential advantages and challenges and presents an illustrative example, based on realworld data, related to the selection of medical undergraduates.

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“…A growing body of the literature covers questions of AI and ethical frameworks [1,[6][7][8][9][10], laws [3,[11][12][13][14] to govern the impact of AI and robotics [15], technical approaches like algorithmic impact assessments [16][17][18], and building trustworthiness through system validation [19]. These three guiding forces in AI governance (law, ethics and technology) can be complementary [ However, the debate on when which approach (or combination of approaches) is most relevant is unresolved, as Nemitz and Pagallo expertly highlight in this issue [13,17].…”

Section: Introductionmentioning

confidence: 99%

Governing artificial intelligence: ethical, legal and technical opportunities and challenges

Cath

2018

Phil. Trans. R. Soc. A.

237

153

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This paper is the introduction to the special issue entitled: ‘Governing artificial intelligence: ethical, legal and technical opportunities and challenges'. Artificial intelligence (AI) increasingly permeates every aspect of our society, from the critical, like urban infrastructure, law enforcement, banking, healthcare and humanitarian aid, to the mundane like dating. AI, including embodied AI in robotics and techniques like machine learning, can improve economic, social welfare and the exercise of human rights. Owing to the proliferation of AI in high-risk areas, the pressure is mounting to design and govern AI to be accountable, fair and transparent. How can this be achieved and through which frameworks? This is one of the central questions addressed in this special issue, in which eight authors present in-depth analyses of the ethical, legal-regulatory and technical challenges posed by developing governance regimes for AI systems. It also gives a brief overview of recent developments in AI governance, how much of the agenda for defining AI regulation, ethical frameworks and technical approaches is set, as well as providing some concrete suggestions to further the debate on AI governance. This article is part of the theme issue ‘Governing artificial intelligence: ethical, legal, and technical opportunities and challenges’.

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How AI can be a force for good

Abstract: An ethical framework will help to harness the potential of AI while keeping humans in control

Cited by 337 publications

References 12 publications

The Ethics of AI Ethics: An Evaluation of Guidelines

The Ethics of AI Ethics: An Evaluation of Guidelines

Artificial or intelligent? Machine learning and medical selection: possibilities and risks

Governing artificial intelligence: ethical, legal and technical opportunities and challenges

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