Artificial Intelligence and Ethics in Design
The ethics of artificial intelligence is a hot topic, sparking much admiration, concern, conversation, and potential regulation as this technology evolves. To help move beyond both the fear and the uncritical admiration, the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems (AI/AS) was formed. The Global Initiative is a consortium of over 100 global thought leaders in the fields of Artificial Intelligence, law and ethics, philosophy, and policy from the realms of academia, science, government, and corporate sectors.
What you will learn:
- Responsible artificial intelligence, law, compliance and ethics in artificial intelligence and practical applied ethics for use in the responsible design of artificial intelligence systems
- Prioritizing human well-being in the age of AI and the business advantage of diversity and inclusion
- Values by design in the algorithmic era and ethics in artificial intelligence research and development
- What nudging is, why it is of special concern in AI applications and how algorithms can nudge behavior ethically
- Data protection, data safety and ethical challenges in data protection and safety
Courses included in this program:
Course Program Length: 5 hours
Program Level: Introductory
Who Should Attend: Data Engineer, AI/ML Engineer, Design Engineer, Computer Engineer, Security Engineer, Electrical Engineer, Software Engineer, UX Designer, Engineering Managers, Technical Leaders, Functional Conultant, Business User, Research Engineer, Robotics Engineer, Machine Learning Engineer, Computer Vision Engineer
Instructors
Lorenzo Dalla Corte, Assistant Professor in Data Protection Law, Tilburg University
Bastiaan van Loenen, Associate Professor at Delft University of Technology’s faculty of Architecture and the Built Environment, where he directs the Knowledge Centre Open Data
John C. Havens, Director, Emerging Technologies & Strategic Development, IEEE Standards Association
John P. Sullins, Full professor of philosophy at Sonoma State University in California
Laurence Y. Devillers, Full professor of Computer Sciences at the Paris-Sorbonne University, France
Sarah Spiekermann, Chairs the Institute for Management Information Systems at Vienna University of Economics and Business
Sara R. Jordan, Assistant Professor of Public Administration in the Center for Public Administration & Policy at Virginia Tech
Virginia Dignum, Associate Professor at the Faculty of Technology, Policy and Management, Delft University of Technology
Matthew Scherer, Associate with Littler Mendelson, P.C., and a member of the firm’s Robotics, Artificial Intelligence and Automation practice group
Rumman Chowdhury, 2nd Senior Principal at Accenture AI
Publication Year: 2018
ISBN: 978-1-5386-0018-4