In this first part of our deep dive into responsible AI and ethics, Gurpreet Dhindsa, our co-founder and CEO at Altrum AI provides a comprehensive introduction to these critical concepts.
The webinar clarifies the meaning of ethics and responsible AI, explaining how they relate to each other. It outlines the initial steps towards creating a responsible AI strategy within your organisation, including understanding the fundamentals and the framework involved.
We explore how to find and define your organisation's core values using the Foundational Value Finder framework. The session also examines the duality of ethics in relation to both risk mitigation and innovation.
Furthermore, it covers the importance of aligning responsible AI with your organisation's objectives and presents compelling reasons why investing in responsible AI is essential, rather than optional, for making the most of your AI investments and avoiding the high failure rates often seen in AI projects.
You will also get a sneak peek into Part 2 of this webinar, which will delve deeper into building a responsible AI strategy by focusing on people, process, and technology.
This video is essential viewing for:
Business Leaders and Decision-Makers: To understand the strategic importance of responsible AI, its role in bridging the gap between intended AI use and actual outcomes, and the risks of neglecting it. They will learn why investing in a responsible AI strategy is crucial for sustainable business and gaining a competitive advantage.
AI and Technology Professionals: To grasp the fundamental principles of ethics and responsible AI and how to operationalise them in the design, development, and deployment of AI systems. They will discover practical frameworks for defining values and assessing ethical risks and opportunities in AI projects.
Compliance and Risk Management Teams: To learn how a responsible AI strategy can help identify and mitigate various risks, including reputational damage, legal violations, and issues with fairness, safety, transparency, and accountability, particularly in light of evolving regulations.
Anyone Interested in the Ethical Implications of AI: Whether new to the field or seeking a deeper understanding of AI ethics and responsible AI, this webinar provides a clear introduction to the core concepts and their practical relevance in today's world.
By watching this video, you will:
Gain Clarity on Key Concepts: Understand the distinct yet interconnected meanings of ethics (the 'why' based on values) and responsible AI (the 'how' of operationalising those values), forming the foundation of trustworthy AI systems.
Learn a Practical Framework for Defining Values: Discover the Foundational Value Finder framework, a step-by-step approach to identifying and prioritising your organisation's core ethical values by considering government regulations, industry standards, and your company's own principles.
Understand the Duality of Ethics: Recognise how ethical considerations serve both as a means of risk mitigation (shielding against harm, preventing unethical practices, ensuring compliance, and building trust) and as an enabler of innovation (inspiring creativity, driving long-term value, fostering human-centric solutions, and providing a competitive advantage).
Grasp the Importance of Strategic Alignment: Learn why and how to align your responsible AI efforts with your broader organisational objectives to ensure that your AI investments deliver maximum value while adhering to ethical principles and minimising the gap between intended use and delivered outcomes.
Understand the Risks of Neglecting Responsible AI: Be informed about the high failure rate of AI projects (over 80%) and how a lack of focus on ethics and responsible AI is a significant contributing factor, potentially leading to financial losses, reputational damage, non-compliance, and a failure to achieve the intended purpose of the AI system.
Discover the Compelling Reasons to Invest in Responsible AI: Understand the numerous benefits of a robust responsible AI strategy, including the potential for technical enhancements, improved product quality, stronger company culture, readiness for regulations like the EU AI Act, and ultimately, building trustworthy and valuable AI systems that align with your initial goals.
Get Introduced to Risk and Innovation Assessment: Learn about the Ethical Risk and Innovation Framework and how it can be used to analyse potential worst-case and best-case scenarios for each identified value, helping you determine whether to focus on risk mitigation or innovation for specific aspects of your AI development.
Prepare for Future Learning: Get a preview of the topics that will be covered in Part 2 of this webinar, focusing on the practical implementation of a responsible AI strategy across the three key pillars of people, process, and technology, and how to build a responsible AI-enabled organisation.
After watching this video, you will:
Don't miss out on this valuable introduction to responsible AI. Watch the video now to take the first crucial step towards building ethical and trustworthy AI systems within your organisation.
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