Type of course:
Digital learning, Lesson
Language:
EN
Duration:
20 minutes
Proficiency:
Intermediate
Target:
Professionals
SUMMARY
Explore the ethical dimensions of integrating Artificial Intelligence (AI) in manufacturing. This course provides a comprehensive understanding of the challenges and considerations in adopting AI technologies, from workforce displacement and data privacy to environmental impact and ethical design. With real-world examples, participants will learn to identify ethical risks, implement responsible AI strategies, and balance technological advancements with societal and corporate responsibility.

About The Author
Carlo Ongini is the Head of Innovation at the MADE Competence Center in Milan, Italy. He holds a PhD in System and Control Automation and a master’s degree in Computer Engineering from Politecnico di Milano. With a deep expertise in Computer Vision, AI, and Machine Learning, his research focuses on their application in Automation, Robotics, and Industry 4.0.
Ongini has authored over 10 publications and a patent application. He has extensive experience across various industry sectors, having led advanced technology initiatives at Electrolux, driving intelligent automation solutions in manufacturing, and at Vodafone Business, where he managed the development of 5G and IoT solutions for industry applications. He also played a key role in Vodafone’s 5G Trials in Milan and was instrumental in the growth of Smart Robots, an Italian startup specializing in robotic and visual automation systems.
MADE is a Competence Center for Industry 4.0 created to implement Orientation, Training, and Finalization activities for technology transfer projects with companies on Industry 4.0 issues. The ultimate goal of the Competence Center is to keep the profile of companies high, competitive, and sustainable. Moreover, MADE supports manufacturing companies, especially small and medium enterprises, on the path of digital transformation to factory 4.0: smart, connected, and sustainable, by providing a wide range of knowledge, methods and tools on digital technologies.
Learning outcomes
- Analyze key ethical challenges in AI manufacturing, such as job displacement, data privacy, and environmental impact, using real-world examples.
- Evaluate and apply ethical principles to design, deploy, and manage AI technologies responsibly in manufacturing processes.
- Develop strategies to address societal, corporate, and environmental considerations when adopting AI in manufacturing
Course Content
Topics
Uncategorized
Tags
Machine learning, Features, Featrue selection