This lecture is from the course Generative AI for Business.
We consider the ethical challenges in generative AI deployment and offer insights into balancing innovation with crucial safeguards.
This lecture looks into the critical ethical considerations surrounding the deployment of generative AI using the example of healthcare and other sensitive sectors.
We examine the potential risks associated with handling sensitive data, including the implications of data breaches and inadequate anonymisation.
The lecture extends to the broader ethical challenges of bias, privacy, and potential misuse in AI systems.
We explore the necessity of implementing robust safeguards and monitoring mechanisms to mitigate these risks, balancing the transformative potential of generative AI with the imperative to protect individuals, businesses, and societal interests.
