AI & Law: Explainable AI Needs To Have Legal Meaningfulness
by Dr. Lance B. Eliot
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Abstract: There is a pell-mell rush to build and release AI systems in all areas of commerce. Many such AI systems embed “algorithmic decision making” (ADM) capabilities, rendering at times quite important “decisions” impacting those using the AI. A rising call for XAI or explainable AI has taken place. One legally important stipulation will be that the explanations are meaningful (a potentially murky notion needing legally robust clarification).
Key briefing points about this article:
- AI continues to be rolled out in an ever-increasing number of avenues
- Often, the AI contains algorithmic decision making (ADM) rendering key decisions
- Regulators are rapidly seeking to ensure that the AI also provides ADM explanations
- This is known as XAI or explainable AI
- For XAI, the notion of legal meaningfulness is becoming a core characteristic
