Summary

This video is the second part of our Responsible AI deep dive series, guiding you through the essential steps to create a practical and effective Responsible AI strategy from the ground up.

We delve into understanding and overcoming "techno value blind spots" that can lead to unintended and unethical outcomes in AI systems.

You will be introduced to the Value Canvas, a crucial tool with three core pillars: People, Process, and Technology, designed to ensure your AI development is both innovative and responsible.

Who Should Watch This Video?

This session is vital for anyone involved in the creation and deployment of AI, including:

• ‍Project Managers leading AI initiatives‍
• Data Scientists and AI Developers building AI solutions‍
• Business Analysts involved in defining AI requirements.Technology Leaders (CTOs) responsible for AI governance.‍
• Anyone seeking to implement Responsible AI within their organisation or projects.
• Professionals interested in understanding and mitigating ethical risks in AI.
• Individuals looking for a structured approach to building responsible AI strategies.

Why Should You Watch This Video?

By watching this video, you will:

• Understand the critical concept of "techno value blind spots" and why a purely technical approach to AI can fall short on ethical considerations
• Learn how the Value Canvas can help you identify and address these blind spots across People, Process, and Technology‍
• Gain insights into the three key pillars of the Value Canvas and their importance in building responsible AI
• Discover how to focus on the People involved in AI development through education, motivation, and communication strategies
• Learn how to define responsible Processes by establishing clear intent, implementation frameworks, and the necessary instruments
• Understand how to integrate ethical considerations into Technology, including data ethics, documentation, and human oversight
• See a practical example of applying the Value Canvas to a credit card fraud detection system, focusing on the value of fairness
• Be better equipped to avoid potential negative consequences such as bias, reputational damage, and regulatory issues

What Will You Learn After Watching This Video?

After watching this session, you will be able to:

• ‍Explain the concept of "techno value blind spots" and its implications for AI development‍
• Describe the Value Canvas and its three key pillars: People, Process, and Technology‍
• Identify the key elements within each pillar of the Value Canvas: Educate, Motivate, Communicate; Intent, Implement, Instrument; and Data, Document, Domain ‍
• Understand the importance of addressing ethical considerations at the people, process, and technology layers of AI development‍
• Apply the Value Canvas framework to your own AI projects to proactively build in responsible practices‍
• Develop strategies for educating and motivating your teams on responsible AI principles‍
• Outline how to establish policies and frameworks to guide the responsible development and deployment of AI‍
• Recognise the crucial elements of ethical considerations in AI technology, including data bias, documentation, and human oversight

Don't let your AI projects be hampered by unseen ethical challenges. Watch this session to gain a practical understanding of how to build a robust and responsible AI strategy using the Value Canvas.

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