Responsible AI & Innovation Training for Ethical Design

The Responsible Innovation and Trustworthy AI course is designed to empower business decision-makers, data scientists, IT professionals, and anyone working with AI systems to better understand the critical elements of responsible and ethical AI. This 7-hour program emphasizes the importance of integrating trust and responsibility into the AI and analytics lifecycle. Whether you are a programmer, manager, executive, or individual contributor, the course equips you with the tools needed to foster ethical AI practices in design, development, and deployment.

The course delves into identifying and addressing unwanted biases throughout the AI and analytics lifecycle. Participants learn to apply key principles of responsible innovation such as human-centricity, inclusivity, accountability, privacy, security, robustness, and transparency. By focusing on human-centric scenarios, the course demonstrates the real-world implications of responsible innovation, including palliative risk score models, automated decision-making in workplaces, and disparities in automated systems like speech recognition.

Throughout the course, modules also explore specific areas of inclusivity, accountability, and robustness, supported by relevant case studies. For example, learners encounter scenarios like racial bias in EEG research, the introduction of female crash test dummies, and the challenges of transparency in credit score literacy programs. This approach ensures practical learning and prepares attendees to implement responsible innovation in their organizations.

The final stages of the course examine how SAS technologies can help mitigate bias and promote responsible data management and model deployment. With a strong focus on ethical AI, this course empowers participants to create AI systems that prioritize fairness, security, and societal benefit, setting a higher standard for trustworthiness in AI and analytics.