3. Scientific Integrity and Information Quality
Best practices include transparently articulating the strengths, weaknesses, intended optimizations or outcomes, bias mitigation, and appropriate uses of the AI application’s results.
7. Fairness and Non Discrimination
fairness and Non Discrimination
7. Fairness and Non Discrimination
Fairness and Non discrimination
7. Fairness and Non Discrimination
Agencies should consider in a transparent manner the impacts that AI applications may have on discrimination.
7. Fairness and Non Discrimination
AI applications have the potential of reducing present day discrimination caused by human subjectivity.
7. Fairness and Non Discrimination
At the same time, applications can, in some instances, introduce real world bias that produces discriminatory outcomes or decisions that undermine public trust and confidence in AI.
7. Fairness and Non Discrimination
At the same time, applications can, in some instances, introduce real world bias that produces discriminatory outcomes or decisions that undermine public trust and confidence in AI.
7. Fairness and Non Discrimination
When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.
7. Fairness and Non Discrimination
When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.
7. Fairness and Non Discrimination
When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.
7. Fairness and Non Discrimination
When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes.