AI has the potential to unlock significant long-term value but trust needs to be felt both by the company deploying the AI and the customers that will experience it and its outcomes. This discussion will explore the success and failures organizations have faced with:
- Effectively building trust and conveying the net benefits for all parties
- Human circuit breaks as a safety mechanism
- Leveraging trust to create more desirable business outcomes
- The definition of trust in the context of AI – is it in the development process, the outcome or both?
Suhas Manangi
Suhas Manangi is the product head of the AI/ML Defense Platform team at Airbnb, where he leads work on accelerating the use of AI and machine learning in fighting fraud and abuse to ensure trust and safety on the online marketplace. Before joining Airbnb, he spent many years working with trust and safety teams at Amazon, Lyft, and Microsoft. Manangi is also active in the product management community, helping product managers transition to using AI/machine learning in their products.