Bias in AI
This assignment involves a panel discussion on the important topic of bias in AI systems.
Summary:
This assignment involves a panel discussion on the important topic of Bias in AI Systems. As AI becomes more prevalent in our daily lives, it is important to recognize that AI systems can perpetuate biases that already exist in society. The panel will explore the issue of bias in AI, including how it arises, how it can impact decision-making, and how it can be addressed. Various types of bias, such as algorithmic bias and data bias, will be discussed, along with the ethical considerations surrounding biased AI. The panelists will share their experiences and perspectives on strategies for mitigating bias in AI systems, including data pre-processing, algorithmic adjustments, and fairness metrics. The discussion will provide valuable insights and guidance on how to build more fair and equitable AI systems.
