Artificial Intelligence and Human Error

In today's rapidly advancing technological landscape, AI is transforming the way we live and work. However, while AI has the potential to greatly enhance our lives, it is not without its risks. One of the most significant of these risks is the potential for human error in the development and implementation of AI systems.

LEARNING OBJECTIVES:

• Developing a deeper understanding of the nature and sources of human error in AI systems
• Gaining insights into strategies for preventing and mitigating human error in AI development and use
• Understanding the ethical implications of human error in AI and its impact on society
• Learning about real-world case studies of human error in AI systems and their consequences
• Exploring best practices for developers, operators, and users of AI systems to minimize the risks of human error
• Understanding the importance of transparency and explainability in AI systems to prevent human error
• Gaining knowledge about future directions for research into minimizing human error in the development and use of AI systems

AREAS COVERED IN THE SESSION:

• Understanding the nature of human error in AI systems
• Identifying common sources of human error in AI development and use
• The role of biases in AI systems and how they can be minimized
• Strategies for preventing and mitigating human error in AI systems
• The ethical implications of human error in AI and its impact on society
• Best practices for developers, operators, and users of AI systems to minimize the risks of human error
• The importance of transparency and explainability in AI systems to prevent human error
• Future directions for research into minimizing human error in the developing and using systems.

WHO SHOULD ATTEND:

• Training managers and coordinators
• Manufacturing
• Plant engineering
• QA/QC staff
• Process excellence/improvement professionals
• Industrial/process engineers
• Compliance officers
• Regulatory/legislative affairs professionals
• General/corporate counsel
• Executive management

Course Director: DR. GINETTE COLLAZO

Ginette Collazo, Ph. D. is an Industrial-Organizational Psychologist with 20 years of experience that specializes in Engineering Psychology and Human Reliability, disciplines that study the interaction between human behavior and productivity. She has held positions leading training and human reliability programs in the Pharmaceutical and Medical Device Manufacturing Industry. Nine years ago, Dr. Collazo established Human Error Solutions (HES), a Florida based boutique consulting firm, where she has been able to position herself as one of the few Human Error Reduction Experts in the world. HES, led by Dr. Collazo, developed a unique methodology for human error investigations, cause determination, CA-PA development and effectiveness that has been implemented and proven amongst different industries globally. This scientific method has been applied in critical quality situations and workplace accidents. She is the author of the book Human Error: Root Cause Determination Model, published in 2008. She is also a speaker at significant events like Interphex, FDAnews Annual Conference, Global Conference on Process Safety, International Conference on Applied Human Factors and Ergonomics, and of course, Pharmaceutical Industry Association.