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Kanon Clifford on Muck Rack

Kanon Clifford

As seen in: Ottawa Citizen, Montreal Gazette, Winnipeg Sun, Legal Cheek, Sudbury Star, HR.com, Unite.AI, Canadian Lawyer, North Bay Nugget, The Sault Star and
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Articles

Accountability in Automated Decisions: The Next Frontier of Tech Law

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By Kanon Clifford
| AI Time Journal Verified
As automated decision-making becomes embedded in business-as-usual processes‚ the need for accountability changes from a theoretical debate to a practical governance challenge. New regulations such as the EU AI Actand the General Data Protection Regulationreflect a growing consensus that businesses should explain, audit, and enable individuals to contest automated decisions that significantly affect them.
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From Neural Networks to Negligence: Who’s Responsible When AI Fails?

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By Kanon Clifford, Bergeron Clifford
| Unite.AI Verified
This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world. Artificial intelligence (AI) has slipped by research labs and into courtrooms, clinics, cars, and stock exchanges, with neural networks diagnosing disease, approving loans, and increasingly accomplishing tasks long considered the domain of humans.
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AI, Privilege, and Personal Injury Litigation: What United States v. Heppner Could Mean for Canadian Cases

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By Kanon Clifford
| Unite.AI Verified
Artificial intelligence is rapidly becoming part of everyday legal practice and increasingly part of litigants’ everyday lives. A recent U.S. decision, United States v. Heppner, is an early signal that courts are beginning to grapple seriously with how generative AI tools affect longstanding legal doctrines such as the solicitor-client privilege and litigation confidentiality.
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