Feb. 19, 2024, 12:32 a.m. | Sarthak Handa

Towards Data Science - Medium towardsdatascience.com

A pragmatic guide to understand AI risks and build trust with users through responsible AI development

Source: Dalle-3

In the fast-paced technology landscape, product teams feel the relentless pressure to rush innovative AI offerings to market. However, prioritizing speed over ethical and safety considerations can severely backfire. When AI systems breach social norms and values, organizations bear the risk of facing long-lasting reputational damage and losing trust with users.

Companies are caught in a real-world “prisoner’s dilemma” of …

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