Emerging challenges in AI and the need for AI ethics education
By Jason Borenstein, Ayanna M. Howard. AI and Ethics, 2020
463 citations recorded by the source corpus.
Artificial Intelligence (AI) is reshaping the world in profound ways; some of its impacts are certainly beneficial but widespread and lasting harms can result from the technology as well. The integration of AI into various aspects of human life is underway, and the complex ethical concerns emerging from the design, deployment, and use of the technology serves as a reminder that it is time to revisit what future developers and designers, along with professionals, are learning when it comes to AI. It is of paramount importance to train future members of the AI community, and other stakeholders as well, to reflect on the ways in which AI might impact people’s lives and to embrace their responsibilities to enhance its benefits while mitigating its potential harms. This could occur in part through the fuller and more systematic inclusion of AI ethics into the curriculum. In this paper, we briefly describe different approaches to AI ethics and offer a set of recommendations related to AI ethics pedagogy.
Subfields: Artificial Intelligence, Health Informatics, Safety Research
View Paper: https://www.semanticscholar.org/paper/c463e0a0b9a4c53ad6a90d5254bb9bc03de14033
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Citations in the corpus
- Ethical principles for artificial intelligence in education (2022, background): “AI may become pervasive in every sense where those involved may be exposed to risks without being aware of them, and the situation can be even intensified under the ongoing impacts of the COVID-19 pan - demic (Borenstein & Howard, 2021 ).”
- New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023, background): “As the impact of AI becomes more pervasive, ethical considerations surrounding its deployment and use will become paramount [22].”
- Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy (2023, background): “( Ahmad, 2019; Borenstein & Howard, 2021; Cantú-Ortiz et al., 2020; Dai et al., 2020; Kandlhofer et al., 2016; Long & Megerko, 2020; Ng et al., 2021; St Louis et al., 2021).”
- A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms (2023, background): “One of the most crucial issues of the future of smart classes is ethics in the use of data in AI systems (Borenstein & Howard, 2021).”