The speaker discusses a loose framework for responsible AI development and highlights the importance of accountability, behavioral alignment, continuous monitoring, and documentation. Startups are also mentioned as important players in the responsible AI space.
- Startups are important players in the responsible AI space and often have the most to lose by getting it wrong
- A loose framework for responsible AI development includes accountability, behavioral alignment, continuous monitoring, and documentation
- Developers should ask boundary and purpose questions to ensure the tool is aligned with desired outcomes
- Incentives should be aligned with desired outcomes to avoid undermining the development process
- Continuous monitoring is important to stay vigilant around the actual impact of the tools
- Documentation is important to demonstrate the seriousness with which responsible AI is taken
- Frameworks for responsible AI development are necessary until regulations are developed, adopted, and tested
The speaker mentions a startup working on producing fair algorithms that are not biased on gender in the recruitment area. Startups are seen as vehicles that move quickly and are able to iterate in a limited time, attracting young change makers and new ways of thinking. The speaker also notes that startups often have limited means, but are fortunate to have investors who are more interested in sustainable and ESG investing.