COVID-19, artificial intelligence, ethical challenges and policy implications
Open accessAbstract
As the COVID-19 outbreak remains an ongoing issue, there are concerns about its disruption, the level of its disruption, how long this pandemic is going to last, and how innovative technological solutions like Artificial Intelligence (AI) and expert systems can assist to deal with this pandemic. AI has the potential to provide extremely accurate insights for an organization to make better decisions based on collected data. Despite the numerous advantages that may be achieved by AI, the use of AI can be perceived differently by society, where moral and ethical issues may be raised, especially in regards to accessing and exploiting public data gathered from social media platforms. To better comprehend the concerns and ethical challenges, utilitarianism and deontology were used as business ethics frameworks to explore the aforementioned challenges of AI in society. The framework assists in determining whether the AI's deployment is ethically acceptable or not. The paper lays forth policy recommendations for public and private organizations to embrace AI-based decision-making processes to avoid data privacy violations and maintain public trust.
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AI innovations such as ChatGPT might challenge privacy, inclusivity, and inequality, bring bias, and raise safety concerns.
“This study takes as a starting point that AI innovations such as ChatGPT might challenge privacy, inclusivity, and inequality (Anshari et al., 2023;Dignum, 2018;McGee, 2023;Yuste et al., 2017), bring bias (Chen, 2023) and raise safety concerns (Kaplan & Haenlein, 2020;Rozado, 2023;Yigitcanlar et al., 2023).”
From Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation (2024) · cites this paper as Anshari et al., 2023
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- Authors
- Anshari, M., Hamdan, M., Ahmad, N., Ali, E., & Haidi, H.
- Affiliations
- Universiti Brunei Darussalam (BN)
- Corresponding author
- Anshari, Muhammad
- Venue
- AI & SOCIETY
- Published
- 2022-05-19
- Volume
- 38
- Issue
- 2
- Pages
- 707-720
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- PMC
- PMC9117835
- OpenAlex
- W4280632587
- Cited by
- 67
- References
- 35
- Citations by year
- 2026: 5 · 2025: 16 · 2024: 24 · 2023: 14 · 2022: 8
- FWCI
- 17.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- AI & Society (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- COVID-19 pandemic, artificial intelligence, AI ethics, expert systems, utilitarianism, deontology, business ethics, social media data, data privacy, public trust, AI policy, data-driven decision making
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