The Ethics of Computing

Stahl, Bernd Carsten; Timmermans, Job; Mittelstadt, Brent

doi:10.1145/2871196

Cited by 88 publications

(41 citation statements)

References 107 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2016, Stahl and colleagues published a paper which provided the first comprehensive systematic review of the academic literature on the ethics of computing (Stahl et al 2016). This paper examined academic publications published between 2002 and 2012 having to do with the ethics of computing.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

AI in the headlines: the portrayal of the ethical issues of artificial intelligence in the media

2020

View full text Add to dashboard Cite

As artificial intelligence (AI) technologies become increasingly prominent in our daily lives, media coverage of the ethical considerations of these technologies has followed suit. Since previous research has shown that media coverage can drive public discourse about novel technologies, studying how the ethical issues of AI are portrayed in the media may lead to greater insight into the potential ramifications of this public discourse, particularly with regard to development and regulation of AI. This paper expands upon previous research by systematically analyzing and categorizing the media portrayal of the ethical issues of AI to better understand how media coverage of these issues may shape public debate about AI. Our results suggest that the media has a fairly realistic and practical focus in its coverage of the ethics of AI, but that the coverage is still shallow. A multifaceted approach to handling the social, ethical and policy issues of AI technology is needed, including increasing the accessibility of correct information to the public in the form of fact sheets and ethical value statements on trusted webpages (e.g., government agencies), collaboration and inclusion of ethics and AI experts in both research and public debate, and consistent government policies or regulatory frameworks for AI technology.

show abstract

Section: Introductionmentioning

confidence: 99%

“…The authors of this paper found that a wide range of topics related to ethics of computing were covered, and that there was focused coverage of many different technologies. However, they also concluded that discussion of the methodologies, recommendations, and contributions of papers was lacking (Stahl et al 2016).…”

Section: Introductionmentioning

confidence: 99%

AI in the headlines: the portrayal of the ethical issues of artificial intelligence in the media

2020

View full text Add to dashboard Cite

show abstract

“…(106) on AI in healthcare, for instance, concerns of trust, 'traceability' (aligning with what we have labelled 'accountability'), and bias emerged. While privacy and security were explicitly excluded from their review (106), these very issues were a signi cant nding in a systematic review by Stahl et al (107), both with regard to data privacy and personal (or physical) privacy. Issues of the autonomy and agency of AI machines, the challenge of trusting algorithms (linked with their lack of transparency), as well as others that were more closely associated with non-AI computing technologies were also discussed (107).…”

Section: Cross-cutting Themes and Asymmetriesmentioning

confidence: 99%

Artificial Intelligence for Good Health: A Scoping Review of the Ethics Literature

Murphy,

Ruggiero,

Upshur

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Artificial intelligence (AI) has been described as the “fourth industrial revolution” with transformative and global implications, including in healthcare, public health, and global health. AI approaches hold promise for improving health systems worldwide, as well as individual and population health outcomes. While AI may have potential for advancing health equity within and between countries, we must consider the ethical implications of its deployment in order to mitigate its potential harms, particularly for the most vulnerable. This scoping review addresses the following question: What ethical issues have been identified in relation to AI in the field of health, including from a global health perspective? Methods: Eight electronic databases were searched for peer reviewed and grey literature published before April 2018 using the concepts of health, ethics, and AI, and their related terms. Records were independently screened by two reviewers and were included if they reported on AI in relation to health and ethics and were written in the English language. Data was charted on a piloted data charting form, and a descriptive and thematic analysis was performed. Results: Upon reviewing 12,722 articles, 103 met the predetermined inclusion criteria. The literature was primarily focused on the ethics of AI in health care, particularly on carer robots, diagnostics, and precision medicine, but was largely silent on ethics of AI in public and population health. The literature highlighted a number of common ethical concerns related to privacy, trust, accountability, and bias. Largely missing from the literature was the ethics of AI in global health, particularly in the context of low- and middle-income countries (LMICs). Conclusions: The ethical issues surrounding AI in the field of health are both vast and complex. While AI holds the potential to improve health and health systems, our analysis suggests that its introduction should be approached with cautious optimism. The dearth of literature on the ethics of AI within LMICs, as well as in public health, also points to a critical need for further research into the ethical implications of AI within both global and public health, to ensure that its development and implementation is ethical for everyone, everywhere.

show abstract

“…These papers continue to reflect the breadth of issues that constitute the body of work in the field. As our recent review of the computing-oriented literature has shown (Stahl, Timmermans, & Mittelstadt, 2016), privacy and data protection remain the biggest topic in the area. This is reflected in the second issue of the ORBIT journal which carries several papers that look at privacy in social networks (Chutikulrungsee & Burmeister, 2017), brain-computer interfaces (Wahlstrom, Fairweather, & Ashman, 2017), cultural differences in data sensitivity (Fukuta, Murata, Adams, Orito, & Palma, 2017) and legal aspects of privacy in US law (Robison, 2017).…”

Section: Orbit Journal Issue 1:2mentioning

confidence: 99%