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CIPS “Artificial Intelligence Governance” Virtual Event (June 20th)
June 20 @ 12:00 pm - 1:00 pm CST
Presented by CIPS Saskatchewan
CIPS “Artificial Intelligence Governance” Virtual Event
June 20th 2024 @ 12:00 pm Saskatchewan time / 2:00 pm EDT
Complimentary Event!
Peter Nordstrom
Business Improvement Manager, IT Project Manager, IT Security Officer, Government of Saskatchewan
Peter Nordstrom is many things. IT professional with the Government of Saskatchewan, soldier, Signaller, cyborg, father, husband, poet and author. His studies include human responses to change, the adoption of tools, philosophy, metaphysics and sensemaking. His primary interest in Artificial Intelligence (AI) is to aid in the safe adoption and organizational risk management. Some of his current favorite scholars are Peter Zeihan, Daniel Schmachtenberger, Dr. John Vervaeke, Rene Girard and Jonathan Haidt. His favorite AI related science fiction is Frank Herbert’s Dune Series (and the extended prequels compiled by Brian Herbert and Kevin J. Anderson.
Principles of Use – Artificial Intelligence and other Tools
- Human-cyborgs and the adoption of tools
- Organizational Use Cases and Formal Platforms
- Multi-Dimensional Risk
- Cognitive Biases and AI
- What organizations can do – Principles of Use
Vahid Pourheidari
Application Development Manager, ISM – A Kyndryl Company
Vahid is the Application Development Manager at ISM with over 8 years of combined academic and industrial experience in the data and AI field. Throughout his career, Vahid has gained extensive expertise in various phases of machine learning projects. He currently leads ISM efforts in integrating AI applications, including generative AI, into clients’ enterprises, driving innovation and enhancing operational efficiencies.
Fair and Square: Crafting AI That’s Just, Clear, and Secure
- Fairness and Bias Mitigation: Ensuring AI systems do not perpetuate or amplify biases.
- Transparency and Explainability: Ensuring AI systems are understandable.
- Data Quality, Integrity, and Security: Ensuring the quality, accuracy, and integrity of the data used to train and validate AI models and securing data from breaches and unauthorized access.
For questions and late registrations email executive.director@sk.cips.ca