Columbia University - Earl Hall
2980 Broadway


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Apr 02 2024


4:00 pm - 6:00 pm

Formats (virtual, in person, hybrid)


Impact of AI on Cybersecurity

Panel: 4:00 – 5:00 PM

Networking and light refreshments: 5:00 – 6:00 PM


This event will be simulcast. If joining us virtually, an access link will be provided 24 hours in advance.


The impact of AI on human society is profound and multifaceted, and it depends on how it is developed, regulated, and integrated into various sectors. Careful consideration of ethical, legal, and social implications is crucial to ensure that AI benefits society while minimizing potential negative consequences. One of the key implications of AI is the potential for its misuse by cybercriminals to develop sophisticated cyberattacks that most public and private companies, especially government agencies, are not fully prepared to fend off.

To combat the misuse of AI for criminal activities, law enforcement agencies and cybersecurity experts are continually working to develop and implement countermeasures. This includes using AI and machine learning for threat detection and prevention and developing regulations and ethical guidelines for AI usage. However, staying one step ahead of AI-driven criminal activities remains an ongoing challenge in the evolving landscape of cybersecurity and criminal behavior.

Already, the US and EU have proposed, at the urging of the AI industry, frameworks for AI guardrails, while world leaders have called for a global approach to AI regulation.



  • Shahryar Shaghaghi, Professor of Professional Practice, Enterprise Risk Management; Technology, Risk Management and Cybersecurity Executive


  • Soheil Gityforoze, Doctoral Candidate in AI & Machine Learning, The George Washington University – School of Engineering & Applied Science
  • Justin Greis, Partner, McKinsey & Company
  • Kambiz Mofrad, Chief Information Security Officer, SVAM International
  • Demond Waters, Chief Information Security Officer, NYC Department of Education
Event Contact Information:
Joshua Gleich