The Chronicles of AI Ethics: The Man, The Machine, And The Black Box

Machine learning and artificial intelligence systems are increasingly used by major companies for critical business decisions, but they face challenges such as algorithmic bias. Companies like Apple have been accused of biased AI models, while the use of AI in the US judicial system raises concerns about perpetuating systemic biases. The responsibility for these issues often falls on users rather than creators, and society is struggling to catch up with the ethical implications of AI/ML technologies. To address this problem, steps include admitting the importance of ethical validation, making protected class data available to modelers, breaking down barriers between teams and data, and employing emerging technologies for accountability.

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