6
Conclusions Executives Should Come To
An AI ethics statement is a nice start. It’s also the tip of the iceberg.
Every time you find a use case for AI, your organization faces a host of ethical questions. Those include some with which we’re already familiar:
- Which of these incompatible metrics for bias are ethically appropriate?
- What is the most effective bias-mitigation strategy?
- Is explainability important and, if so, how important is it relative to accuracy?
- Are the rules the AI has discovered for turning inputs into outputs good, reasonable, just, fair?
- What level of privacy should we aim for?
Ethical risk issues pertaining to bias, explainability, and privacy, however, are only a subset of all ethical risks and opportunities your organization ...
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