AI in Biology: Risks and Realities

This chapter examines the misconceptions and challenges of using AI in biological research, focusing on automation bias and the pitfalls of over-relying on automated systems. It underscores the importance of accountability, quality data, and a multidisciplinary approach in assessing AI's true potential in addressing complex biological issues.

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