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AI Ethics: Global Perspectives

This joint course between the Governance Lab, the Global AI Ethics Consortium, the NYU Center for Responsible AI, TUM, the NYU Tandon School of Engineering, The Living Library, and the UNESCO IFAP Working Groups looks at the ethical ramifications of artificial intelligence and countering the risks it can pose to individuals and groups. Learn from leading experts on how we can build a more nuanced understanding of the role that AI can play in society.

Up to 6 Months
Online

This course, AI Ethics: Global Perspectives is a collection of lectures on the ethical implications of data and artificial intelligence (AI) from different perspectives. 

As technology develops and they become more data-intensive and AI-based technologies, these perspectives can solve global challenges but can also form a risk to individuals and groups. As such, it is crucial to consider the ethical ramifications of AI use to identify and rectify harms.

This course is designed to raise awareness of the societal impacts of technology and to give individuals and institutions the tools to undertake responsible AI use. It is intended for current and future data scientists, policymakers, and business leaders. It is composed of 19 modules on topics related to AI and each module consists of a video lecture accompanied by additional resources. 

Modules include:

  • AI Governance and AI in Government
  • AI and Ethics Dumping
  • Governance “of, with and by” AI: a European perspective on the use and impact of AI in the public sector
  • Online Age Verification: AI as a Solution?
  • AI, Art, and Ethics
  • AI Ethics and Fairness
  • AI and Ethics: Agriculture
  • Artificial Intelligence, Inequality and Inclusion in the Middle East and North Africa
  • Understanding AI Governance through Games

The course was jointly designed and implemented by seven organisations:

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Key dates

Duration
6 Months

Additional information

Field of education and training
Information and communication technologies not elsewhere classified
Training opportunities
MOOC
Learning Effort
Part time light
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus
Target language
English
Target group
High Achievers
Non-Native Speakers
Persons in tertiary education (EQF 6)
Persons who have completed tertiary education (EQF 7)
Persons with 0-3 years work experience
Persons who have completed tertiary education (EQF 8)
Persons in tertiary education (EQF 7)
Persons in tertiary education (EQF 8)
Persons with 3-10 years work experience
Persons with 10+ years work experience
Native Speakers
Persons who have completed tertiary education (EQF 6)
Is this course free
Yes

Digital technologies