Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
Summary. AI and machine learning innovations can help combat COVID-19 across biomedical, epidemiological, and socioeconomic challenges, but raise serious ethical concerns around data sharing, surveillance, privacy, and bias. The author proposes five steps for responsible AI innovation: open research, accountable processes, equitable design, democratic governance, and public trust. These practices enable faster global response while protecting civil liberties and preventing harm to vulnerable populations.
Cite this article
Leslie, D.. (2020). Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction. Harvard Data Science Review. https://doi.org/10.1162/99608f92.4bb9d7a7
Leslie, David. “Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction.” Harvard Data Science Review, 2020. https://doi.org/10.1162/99608f92.4bb9d7a7.
Leslie, David. 2020. “Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction.” Harvard Data Science Review. https://doi.org/10.1162/99608f92.4bb9d7a7.
@article{leslie-2020-tackling-covid-19-responsible-ai,
title = {Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction},
author = {David Leslie},
journal = {Harvard Data Science Review},
year = {2020},
doi = {10.1162/99608f92.4bb9d7a7},
url = {https://doi.org/10.1162/99608f92.4bb9d7a7}
}
TY - JOUR TI - Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction AU - David Leslie JO - Harvard Data Science Review PY - 2020 DO - 10.1162/99608f92.4bb9d7a7 UR - https://doi.org/10.1162/99608f92.4bb9d7a7 ER -
Details
- DOI
- 10.1162/99608f92.4bb9d7a7
- Countries
- United Kingdom
- Regions
- Europe
- Categories
- innovation-theory, policy, general-innovation
- Added
- 2026-04-28