Summary
In this chapter, we explored the intricate landscape of AI risks as it pertains to cybersecurity, focusing on the essential aspects of privacy, accountability, explainability, and trust, collectively known as Responsible AI. We discussed the significant challenges AI introduces, such as data privacy concerns and vulnerabilities to adversarial attacks, and highlighted the profound ramifications these issues have on individual privacy, national security, and ethical practices. The discussion extended into detailed frameworks for AI risk management and the latest research developments aimed at securing AI systems and making them trustworthy.
By understanding the responsibility and ethics in AI, we learned about the need for AI systems to adhere to ethical standards, including fairness, transparency, and accountability, ensuring that they align with human values and societal norms.
With research and development, we understood the focus on continuous advancements in AI security...
