The ethical risks of artificial intelligence are extensively documented, ranging from biased recruiting systems to racist chat bots and mistakes in auditing algorithms. Organizations are scrambling to grasp the ethical significance of programs as the threat of AI legislation looms. The embryonic AI auditing sector is emerging to accommodate this need. However, the absence of a common AI ethical system has resulted in uneven methods — and concerns that AI auditing may not only fail to recognize unfairness, but it could even legitimize dangerous technology.

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