AI – safe and sound

It's no secret that AI is so advanced today that it can do practically anything, including complex human tasks. But great opportunities come with risks. If the algorithm fails to perform as expected, the consequences can be drastic – from huge financial losses to life-threatening consequences.

78% of decision makers believe AI will disrupt their industry, while at the same time 87% of them have no confidence in AI. Why is this and how can this paradox be overcome?

Welcome to "AI - safe and sound" - an expert podcast series by Munich Re. Together with players from the AI industry, we explore the potential of AI and provide different perspectives on the technology and potential risks.

In the episodes, we discuss how to support the development of AI-based innovations that enable better and more consistent decision-making, while managing the downsides associated with new risks.
We also provide insights on how Munich Re is supporting the adoption of AI and why an insurance company is the right partner for AI providers.

Follow "AI - safe and sound" to learn more about different use cases:

>> https://www.munichre.com/insure-ai

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Latest episodes

Episode 5: AI & Accountability

‧ 27m 5s

In today’s episode of "AI - Safe and Sound" we delve into the complex landscape of liability for AI-caused losses, a pressing concern for an increasingly AI-dependent world. If AI technology underperforms or even malfunctions, developers and users alike ask themselves the urgent question of who will pay for the financial loss. Alexandra Matthew’s guests are:

Avi Gesser - Co-Chair of Debevoise & Plimpton’s Data Strategy & Security Group. Avi brings a wealth of experience advising major companies on cybersecurity, privacy, and artificial intelligence matters. With a track record of representing global financial services firms, private equity firms, insurance companies,...

Episode 4: Quantify risk with AI

‧ 23m 12s

Alexandra Matthew's guests today are Agni Orfanoudaki, Associate Professor of Operations Management at Oxford University, and Neeraj Sarna, a research scientist at Munich Re. They are exploring how AI can be used to quantify risk and what impact this quantification has on decision-making in verticals such as healthcare. Wouldn’t it be reassuring to have a framework that sets limits to the risks we take with a particular machine learning model?

Episode 3: E-commerce fraud prevention with AI

‧ 24m 18s

Alexandra Matthew's guests today are Amir Sadras, the founder and CEO of FUGU, and Susana Latorre Bojanini, Munich Re Market Lead Insure AI. FUGU has developed an ai-based fraud detection solution for e-commerce. With a performance guarantee backed by Munich Re, FUGU can offer a chargeback guarantee for transactions that were accepted. Today we discuss why self-learning algorithms are so important in the effort to tackle different forms of fraud, and how merchants can use it to protect their businesses from suspicious transactions.

Episode 2: AI-based predictive battery state-of-health analytics

‧ 22m 54s

Alexandra Matthews’s guests today are Lennart Hinrichs, VP of Marketing, Partnerships & Industry Strategy at TWAICE and Michael Berger, Head of Insure AI at Munich Re. TWAICE has been working with Munich Re’s Insure AI team since 2022 and is pioneering AI for predictive battery analytics. Today we talk about how smart green technologies like these will enable the transition towards e-mobility and how Munich Re’s aiSure can support pioneers to grow their business.

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