AI for social good - unlocking the opportunity for positive impact
Notes
- 2020
- Guidelines for developing AI tools for social good
- Broad guidelines for organizations thinking about designing AI tools
- The guidelines are high-level with a focus on SDGs (for example: tools are better built with partnerships)
TomaΕ‘ev, Nenad, Julien Cornebise, Frank Hutter, Shakir Mohamed, Angela Picciariello, Bec Connelly, Danielle C. M. Belgrave, et al. 2020. βAI for Social Good: Unlocking the Opportunity for Positive Impact.β Nature Communications 11 (1): 2468. https://doi.org/10.1038/s41467-020-15871-z.
In-text annotations
"To achieve positive impact, AI solutions need to adhere to ethical principles and both the European Commission33 as well as OECD34 have put together guidelines for developing innovative and trustworthy AI." (Page 2)
"G1 Expectations of what is possible with AI need to be well-grounded. G2 There is value in simple solutions. G3 Applications of AI need to be inclusive and accessible, and reviewed at every stage for ethics and human rights compliance. G4 Goals and use cases should be clear and well-defined. G5 Deep, long-term partnerships are required to solve large problems successfully. G6 Planning needs to align incentives, and factor in the limitations of both communities. G7 Establishing and maintaining trust is key to overcoming organisational barriers. G8 Options for reducing the development cost of AI solutions should be explored. G9 Improving data readiness is key. G10 Data must be processed securely, with utmost respect for human rights and privacy." (Page 3)