Overview:
In an age where artificial intelligence (AI) permeates nearly every aspect of our lives, from recommending what to watch next on streaming platforms to driving cars autonomously, the legal landscape finds itself grappling with unprecedented challenges. As AI evolves at an astonishing pace, legal professionals must navigate intricate ethical, regulatory, and societal considerations to ensure its responsible and equitable deployment. Welcome to "AI Governance: Practical, Legal and Policy Aspects " a course designed to equip legal practitioners with the essential knowledge and tools to address the complexities of AI governance effectively.
This course serves as a critical juncture where legal expertise intersects with cutting-edge technology, providing a comprehensive understanding of the multifaceted dimensions of AI governance. From privacy concerns to bias mitigation, from liability issues to accountability frameworks, this course delves into the intricate web of legal challenges posed by AI systems. Through a combination of theoretical insights, practical case studies, and interactive discussions, participants will gain the expertise needed to navigate this rapidly evolving field with confidence and competence.
At the heart of AI governance lies the imperative to uphold fundamental principles of fairness, transparency, and accountability. Legal and compliance professionals play a pivotal role in shaping the legal frameworks that govern AI systems, ensuring that they adhere to ethical standards and respect human rights.
The course begins by laying a solid foundation in the principles of AI technology, providing participants with an overview of the basic concepts of machine learning algorithms, neural networks, and other key AI concepts. The content would be designed for consumption by a non-technical audience and participants will gain an understanding of how AI systems operate, empowering them to identify legal implications and anticipate potential risks effectively.
Course Objective:
Introduce participants to legislative and technical concepts within the AI ecosystem
To identify opportunities for technology law and compliance professionals within the emerging field of AI Governance
Translating principles to practical governance insights
Target Audience:
Basic Knowledge:
The course is broad based. Candidates must only have basic knowledge of news and trends in the tech and data industry. The course will cater to all levels of knowledge
Technology solutions to key problems: Privacy Enhancing Technologies (PETs), Transparency Enhancing Tools (TETs), watermarking and other technical solutions