Transparency Companies should be transparent about the design, intention and use of their A.I. technology.
Disclosure Companies should clearly disclose to users what data is being collected and how it is being used.
Privacy Users should be able to easily opt out of data collection.
Diversity A.I. technology should be developed by inherently diverse teams.
Bias Companies should strive to avoid bias in A.I. by drawing on diverse data sets.
Trust Organizations should have internal processes to self-regulate the misuse of A.I. Have a chief ethics officer, ethics board, etc.
Accountability There should be a common set of standards by which companies are held accountable for the use and impact of their A.I. technology.
Collective governance Companies should work together to self-regulate the industry.
Regulation Companies should work with regulators to develop appropriate laws to govern the use of A.I.
“Complementarity” Treat A.I. as tool for humans to use, not a replacement for human work.”
Seeking Ground Rules for A.I.https://www.nytimes.com/2019/03/01/business/ethical-ai-recommendations.html