- In clinical and healthcare settings, transparency, privacy, fairness, safety and liability are major challenges (link) in terms of ethical and regulatory aspects of AI.
- The issues concerning bias and lack of transparency should be dealt by engaging different stakeholders in the Covid-19 vaccine discovery process.
- Explainability and interpretability are two important factors that need governance to monitor and enhance AI algorithmic fairness, transparency and accountability.
- “Ethical auditing” could be deployed to examine the inputs and outputs of AI algorithms and models for bias and potential risks.
 Goodman, K.; Zandi, D.; Reis, A.; Vayena, E. Balancing risks and benefits of artificial intelligence in the health sector. Bull. World Health Organ. 2020, 98, 230–230A.
 Cath, C. Governing artificial intelligence: Ethical, legal and technical opportunities and challenges. Philos. Transact. A Math. Phys. Eng. Sci. 2018, 376.