Achieving Responsible AI
Achieving Responsible AI is about integrating ethical AI practices within scalable agile frameworks. Our approach ensures your business leverages AI with integrity, driving innovation while safeguarding against risks. We provide the tools and expertise to scale responsibly, ensuring AI aligns with your business values and regulatory requirements.
Achieving Responsible AI
Responsible AI, Responsible World
70%
Bias Mitigation Rate
$500K
Compliance Cost Savings
25%,
User Trust Index Improvement
IBC's Alumni Hired by
Course Highlights:
Duration: 4 Hours
Format: Remote / In-Person
Key Lessons:
- Introduction to Responsible AI: Gain foundational knowledge of Responsible AI and its integration within the SAFe framework.
- Stakeholder Identification for Responsible AI: Learn to map out key stakeholders essential for implementing Responsible AI in your organization.
- Evaluating AI Policies: Engage in hands-on activities to critically assess and enhance AI policy frameworks using generative AI tools.
- Communicating Responsible AI Needs: Develop skills to effectively communicate the importance and goals of Responsible AI initiatives within your organization.
- Crafting an AI Epic Hypothesis: Learn how to scope and structure significant AI implementation efforts using SAFe's Epic Hypothesis Statement framework.
This course blends self-paced eLearning with a live, expert-facilitated session to ensure both theoretical understanding and practical application