AI is often seen as neutral, but can it perpetuate discrimination? In this episode, we break down how biases in training data lead to real-world consequences, from unfair hiring algorithms to racial profiling, and what can be done to create more ethical AI systems.

When an AI system makes a mistake—who is to blame? Is it the developer, the company, or the machine itself? We discuss the ethical dilemmas of AI accountability, legal implications, and what it means to hold artificial intelligence to human standards.

From facial recognition to data tracking, AI is reshaping our privacy landscape. But where do we draw the line? This episode delves into the ethical implications of AI surveillance, its impact on human rights, and the delicate balance between security and personal freedom.

As AI systems become more advanced, can they truly make ethical choices? In this episode, we explore the challenges of programming morality into machines, the role of bias in AI decision-making, and whether artificial intelligence can ever possess a sense of right and wrong.