At one of our events on the ethical challenges of AI, SCU Business Professor Sanjiv Das commented: “In machine learning, there are three major problems with bias. First, you are what you eat. If you ...

As AI becomes more integrated into society, leaders must address key concerns around bias, data privacy and transparency.

AI reshapes industries, it also introduces unprecedented challenges: fairness, bias, transparency, and unintended societal ...

Artificial intelligence (AI) is reshaping industries and powering innovations, but a recent report highlights a serious issue many businesses are facing: gaps in addressing bias within their AI models ...

Today's fast-changing technological environment serves to underscore the critical role that AI governance has to play in ...

Artificial Intelligence (AI) is revolutionizing industries, transforming operations, and driving innovation. However, as AI ...

AI ethicists can help organizations with regulatory compliance and risk mitigation ... ethical concerns surrounding the rise of generative artificial intelligence (genAI), including privacy, bias ...

Traditional bias mitigation techniques often fall short ... addresses the core issues of bias, leading to more ethical and reliable AI applications. As Pranita continues to explore new areas ...

We will not be able to ignore the range of ethical risks posed by issues of privacy, transparency, safety, control, and bias. Examples include: Considering the advances already made in AI—and ...

“That being said, we agree that bias and ethical use of AI is an important issue today, and we work with all of our customers to mitigate sources of bias in our commercial AI solutions,” Chen ...