In this episode of the KuppingerCole Analyst Chat, host Matthias and guest Marina Iantorno discuss the risks of deepfakes and the ethical challenges and biases in AI-driven cybersecurity.

They explore AI ethics, which includes the importance of fairness, explainability, robustness, transparency and privacy in AI systems. They look at issues of algorithmic bias in AI and the cybersecurity threats posed by deepfakes. Beyond the fundamentals, they discuss mitigation strategies, which are techniques to reduce bias and counter deepfakes, including diverse datasets and adversarial training.

They highlight the role of industry, academia, society and regulators in addressing these challenges and promoting ethical AI practices. The episode emphasizes the need for a multi-pronged approach to create a safe and inclusive cybersecurity environment.

Read Marina's blog: https://www.kuppingercole.com/events/cyberevolution2023/blog/the-triple-threat-ai-ethics-bias-and-deepfakes-in-cybersecurity