Explainable AI (#XAI) can contribute to a better understanding of fairness across eight proposed fairness desiderata, each mapped along the #AI lifecycle, per this article; these eight are: fairness understanding, data fairness, formal fairness, perceived fairness, fairness with human oversight, empowering fairness, long-term fairness, informational fairness (pp.5-7).
💡Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle🤓
👉 what is fairness in AI algorithms
👉 is there for the whole lifecycle of an AI application
👉 can we map fairness and what can we gain by doing that
#artficialintelligence #xai #fairness