Use of artificial intelligence (AI) for cybersecurity use cases, such as to detect insider threats and advanced attacks, is now an accepted and important tool for our industry. However, at the same time as we are realizing the power of AI, we need to become increasingly aware of its ethical challenges.
To illustrate the importance of using ethical AI, in June 2021, the Office of the Privacy Commissioner of Canada recently found the RCMP’s use of Clearview AI, a facial recognition company, illegal and a violation of the Privacy Act.
In this short session, you will learn:
- Why It’s Important: Why responsible and ethical AI is critical, including its business advantages
- Why It’s Hard: The technical challenges associated with responsible AI, including the limitations of standard anonymization techniques
- How to Do It: Best practices and techniques to implement responsible and ethical AI
Responsible and Ethical AI for Cyber: Why It’s Important, Why It’s Hard, How to Do It
Use of artificial intelligence (AI) for cybersecurity use cases, such as to detect insider threats and advanced attacks, is now an accepted and important tool for our industry. However, at the same time as we are realizing the power of AI, we need to become increasingly aware of its ethical challenges.
To illustrate the importance of using ethical AI, in June 2021, the Office of the Privacy Commissioner of Canada recently found the RCMP’s use of Clearview AI, a facial recognition company, illegal and a violation of the Privacy Act.
In this short session, you will learn:
- Why It’s Important: Why responsible and ethical AI is critical, including its business advantages
- Why It’s Hard: The technical challenges associated with responsible AI, including the limitations of standard anonymization techniques
- How to Do It: Best practices and techniques to implement responsible and ethical AI