* Bias in AI: Guaranteeing AI models will not be biased versus sure demographics because of unrepresentative training facts. This may result in disparate outcomes and exacerbate well being inequalities. Demanding auditing for bias is vital. Adjacent fields such as assistive robotics and industrial robotics are presently seeing samples https://erickkblwx.wssblogs.com/37752286/the-2-minute-rule-for-stanford-case-study-solution