Literature DB >> 33686527

Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality.

Mark Ryan1, Josephina Antoniou2, Laurence Brooks3, Tilimbe Jiya4, Kevin Macnish5, Bernd Stahl3.   

Abstract

This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)-using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI, there is overlap and correlation between the organisations' ethical concerns. This more detailed understanding of ethics in AI + BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature.

Entities:  

Keywords:  Artificial intelligence ethics; Big data analytics; Multiple-case study analysis; Philosophy of technology; Smart information systems

Year:  2021        PMID: 33686527      PMCID: PMC7977017          DOI: 10.1007/s11948-021-00293-x

Source DB:  PubMed          Journal:  Sci Eng Ethics        ISSN: 1353-3452            Impact factor:   3.525


  5 in total

Review 1.  Economics in the age of big data.

Authors:  Liran Einav; Jonathan Levin
Journal:  Science       Date:  2014-11-07       Impact factor: 47.728

2.  Informed consent, big data, and the oxymoron of research that is not research.

Authors:  John P A Ioannidis
Journal:  Am J Bioeth       Date:  2013       Impact factor: 11.229

3.  The legal and ethical concerns that arise from using complex predictive analytics in health care.

Authors:  I Glenn Cohen; Ruben Amarasingham; Anand Shah; Bin Xie; Bernard Lo
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

4.  Responsible Data Governance of Neuroscience Big Data.

Authors:  B Tyr Fothergill; William Knight; Bernd Carsten Stahl; Inga Ulnicane
Journal:  Front Neuroinform       Date:  2019-04-24       Impact factor: 4.081

Review 5.  Artificial intelligence and algorithmic bias: implications for health systems.

Authors:  Trishan Panch; Heather Mattie; Rifat Atun
Journal:  J Glob Health       Date:  2019-12       Impact factor: 4.413

  5 in total
  2 in total

1.  Recommendations for ethical and responsible use of artificial intelligence in digital agriculture.

Authors:  Rozita Dara; Seyed Mehdi Hazrati Fard; Jasmin Kaur
Journal:  Front Artif Intell       Date:  2022-07-29

2.  Ethical Artificial Intelligence in Chemical Research and Development: A Dual Advantage for Sustainability.

Authors:  Erik Hermann; Gunter Hermann; Jean-Christophe Tremblay
Journal:  Sci Eng Ethics       Date:  2021-07-06       Impact factor: 3.525

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.