AI Governance: Key Challenges and Strategies for Effective Oversight and How to Effectively Manage AI and its Challenges
- Privacy Law In Canada
- Oct 25, 2023
- 1 min read
October 25th, 2023 --- The article emphasizes the growing need for governance in the field of artificial intelligence (AI), particularly in the context of generative AI.
It recognizes that the rapid development and integration of AI into various sectors make it essential to address governance concerns promptly. To comprehend AI and governance, it's crucial to delve into the mechanics of AI algorithms and understand how risks emerge and why governance is necessary.
The article outlines the technical aspects of AI, including machine learning, deep learning, and generative AI, and discusses how these technologies work. It highlights the challenges posed by AI's black-box problem, emphasizing the need for transparency and model cards to make algorithms more explainable.
The article also identifies risks at different stages of AI, such as algorithmic bias, disinformation through deep fakes, and copyright infringements. It stresses the importance of governance throughout the AI system's life cycle, including data collection, data cleaning, and system design.
Ultimately, the article underlines the significance of effective governance in ensuring trustworthy AI systems. Governance should encompass legal compliance, internal policies, audits, and impact assessments to address risks and foster trust. The article calls for collaboration between technical and legal or policy experts to create a seamless connection between AI development and governance.
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