We live in an age in which dependency on AI is inescapable. We benefit from these innovative tools but also suffer from complex vulnerabilities and ethical dilemmas.
This talk will focus on the dual role of AI in both undermining and enhancing cybersecurity and data privacy.
For instance, facial recognition technologies can be used for good as it allows people to unlock their phones, go through security at the airport, and purchase products at stores. However, they can also identify individuals based on their facial features for surveillance, tracking, and monitoring people in public spaces. Therefore, it leads to profiling, discrimination, and the violation of privacy rights.
Furthermore, generative AI, built on large language models, has shown the potential to transform cybersecurity. It has led to wonderful opportunities in several domains, but also to new malicious threats, such as DeepLocker, FraudGPT, and WormGPT.
In particular, deepfakes have the ability to make anyone say anything or be anywhere, which can be terrifying. It robs individuals of their autonomy and transforms them into an entertainment tool for others. It also threatens our organizations and democracy.
This talk highlights the critical need for a collaborative approach involving technologists, policymakers, and ethicists to develop strategies to mitigate risks and harness the potential of AI technologies.