- Aminata Garba
- Kseniia Fontaine
Description
This training course surveys current and emerging technical, legal and policy issues related to AI. We will consider distinct settings where regulation of AI is emerging as a challenge or topic of interest, including data protection laws, sectoral regulatory frameworks (health, agriculture, transport, education, etc.), intellectual property (IP) laws, anti-trust/competition laws, consumer protection laws, cyber and information security laws. We will also touch upon issues such as the proliferation of algorithmic decision-making and autonomous systems; the issues of ethics, fairness, transparency and accountability raised by AI techniques such as machine learning; balances and interactions between regulation and innovation; the effects of AI on human rights and economic well-being. In the end, the training course will give an overview of the main building blocks of national AI and data strategies for development, by using specific examples/case studies of countries that have been successful in formulating AI and data strategies fit for their development purposes.
Kindly note this course is restricted to users who meet the following criterial:
Instructors
Registration information
Unless specified otherwise, all ITU Academy training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.
