STEFAN SCHMAGER

Welcome!

Focusing on the needs and experiences of different stakeholders throughout the AI lifecycle is the bedrock of responsible AI design. Human-Centered Design Thinking, utilizing iterative processes like empathy, ideation, and testing. This ensures AI solutions are equitable, accessible, and aligned with human values, enhancing user satisfaction and promoting fairness in AI outcomes.

Human-Centered AI (HCAI) focuses on understanding purposes, human
values and desired AI properties in the creation of AI systems by applying
Human-Centered Design practices. HCAI seeks to augment human
capabilities while maintaining human control over AI systems, by
considering the necessity, context, and ethical and legal conditions of the AI
system as well as promoting individual and societal well-being.

AI governance describes processes, policies, and tools to bring a diverse range of stakeholders together. This collaborative approach ensures that AI systems are developed, implemented and managed, to maximize benefits while mitigating risks. The alignment of business objectives, legal standards, and ethical principles enables responsible oversight throughout the entire lifecycle of AI systems.