* Bias in AI: Guaranteeing AI designs usually are not biased towards selected demographics on account of unrepresentative training knowledge. This can cause disparate outcomes and exacerbate health and fitness inequalities. Rigorous auditing for bias is critical. 富士通 富士通エフサス 富士通エフ・アイ・ピー 日立製作所 日立システムズ ＮＥＣ ＮＥＣネッツエスアイ ルネサスエレクトロニクス... https://sethhlvkf.ezblogz.com/69422055/the-definitive-guide-to-stanford-case-study-solution