Artificial Intelligence and Ethics in Design: Responsible Innovation
European regulations require that ethics specifications be met when designing artificial intelligence (AI) systems. Ignoring these regulations can result in hefty financial fines. In this program, learn what engineers need to know when designing artificial intelligence systems.
What you will learn:
- The economic potential of responsible artificial intelligence
- Standards and certifications to guarantee transparency and accountability in the algorithmic era
- Structural causes of unintended/unjustified bias
- Transparency and accountability in autonomous and intelligent systems
- Legal and implementations issues of enterprise artificial intelligence
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
Rumman Chowdhury, Senior Principal at Accenture AI and global lead for Responsible AI in Applied Intelligence
John P. Sullins III, Full professor of philosophy, Sonoma State University, California
Ansgar Koene, Senior Research Fellow at Horizon Digital Economy Research institute, University of Nottingham and chairs the IEEE P7003 Standard for Algorithm Bias Considerations working group
Alan Winfield, Professor of Robot Ethics at the University of the West of England, Bristol, United Kingdom, and Visiting Professor at the University of York
Raja Chatila, Professor of Artificial Intelligence, Robotics and Ethics at Sorbonne Université, Paris, France and Director of the Institute of Intelligent Systems and Robotics and leads the SMART Laboratory of Excellence on Human-Machine Interactions
Ruth Aylett, Professor of Computer Science at Heriot-Watt University in Edinburgh, Scotland
Catelijne Muller is a member of the European Economic and Social Committee (EESC) and President of the Permanent Study Group on AI at the EESC
Virginia Dignum is an Associate Professor at the Faculty of Technology, Policy and Management, at Delft University of Technology
Publication Year: 2018
ISBN: 978-1-5386-0027-6