Welcome to this Blog ‹Responsible and Ethical AI-Webinar›

In a nutshell

The recent webinar, exploring the future of 'Responsible and Ethical AI', gathered industry leaders to discuss integrating ethical AI into operations. Highlights included insights from a diverse panel: Dr. Gitanjali Ponnappa, an innovation specialist; Professor Shivani Shukla, Associate Dean, a professor of AI, expert in language processing and computer vision; Himanshi Joshi, a leading AI voice; and an top expert in risk management. Key discussions moderated by Martine Richmann, Digital Strategy leader, balancin Ai, Innovation, and Risk covered identifying AI use-cases, implemented examples in healthcare and finance, and challenges like data, and alignments. Despite challenges, AI offers immense opportunities, with collaboration and ethical frameworks essential for responsible development. The event concludes with a call for ongoing dialogue and community involvement.

Webinar Summary

In an age where artificial intelligence (AI) is rapidly transforming industries, organisations are increasingly focused on integrating responsible and ethical AI into their operations. Last week's webinar, 'Responsible and Ethical AI', brought together leaders in the field to explore these critical themes.

Meet Our distinguished Guests Panelists

The discussion was enriched by insights from a diverse panel of experts:

• Prof. Shivani Shukla, Associate Dean at University of San Fransisco: A distinguished professor in AI, known for her work on operations research, language processing and computer vision.

• Himanshu Joshi: A leading voice in AI and human-centric artificial intelligence

• Dr. Gitanjali Ponnappa: An innovation specialist with a keen eye for emerging technology trends

• Our community top expert in risk management, bringing valuable perspectives on AI safety and ethics.

• Martine Richmann, Balancing Innovation and Risk: as moderator and seasoned leader in digital Startegy and Execution, Innovation and AI risk management.

A quote resonated throughout the event, stating, 'Our focus must be on aligning AI's capabilities with our deepest values and business strategies.'

Finding the Right Use-Cases

The panel began by discussing the process of identifying AI use-cases within organisations. We highlighted the importance of aligning AI applications with organisational goals, ensuring they drive real value. We highlighted the benefit of getting started on the 'AI journey'.

Implemented Use-Cases

We shared fascinating examples of implemented AI use-cases across various sectors. In healthcare, AI is revolutionising diagnostics and patient care. In finance, it's transforming customer relations and risk management. The panel stressed the benefits and necessity of differentiating language processing for various actors, such as banking relationship managers and their clients, or healthcare professionals (doctors, nurses) and patients.

Risks and Challenges

The discussion turned to the challenges of AI adoption, shedding light beyond typical key risks:

• Bias in AI Systems: AI systems perpetuate biases present in training data, resulting in discriminatory outcomes. Addressing these biases is crucial, especially given the vast array of cognitive biases that exist (more than 80).

• Data Privacy: The large amount of data required poses threats to privacy, necessitating robust security protocols.

• Transparency and Accountability: Establishing responsible and explainable AI should be standard practice.

Namely, we emphasised the need for real, considerable data for training, noting that synthetic data doesn't provide the accuracy needed.

We pointed out that computing power, while a challenge, is becoming commoditised. The real challenge lies in managing and utilising data effectively.

Opportunities Ahead

Despite these challenges, the opportunities presented by AI are immense.

• Collaboration between firms and governments can help establish frameworks that guide ethical AI development.

• Boards play a crucial role in steering organisations towards responsible AI use, ensuring ethical considerations are integral to technological advancements.

The panel also addressed the subjective nature of "ethics" in AI, discussing how organisations can integrate ethical AI practices tailored to their unique needs. This critical dialogue will shape future developments in both technology and business.

Conclusion

In conclusion, a heartfelt congratulations to our esteemed panelists for bringing diverse perspectives that allowed us to explore responsible and ethical AI use cases through various lenses. A special thank you to the attendees whose challenging questions enriched this powerful and dynamic first-class discussion on real-life applications of responsible and ethical AI. Together, we are shaping the future of AI strategy and implementation, inspired by real business-life scenarios. I look forward with great anticipation to the integration of responsible and ethical AI in our future endeavours.

Join the Conversation

The webinar concludes with a call to action for the audience. Attendees are encouraged to propose or vote for future AI webinar topics here and book a discovery call to explore how Responsible and Ethical AI can benefit their organisations.

The 'Responsible and Ethical AI' webinar series, powered by passionate volunteers, is committed to furthering these discussions. We invite current and future community members to share the topics they wish to explore in upcoming events here.

Be part of the conversation shaping the future of AI. Together, let's ensure that technology aligns with our values and acts as a force for good in business and in the world.

Book a Session for responsible and ethical, risk-managed AI Adoption