Banking on an AI Future

The video discusses the cutting-edge research in AI, focusing on data processing, feedback loops, and transparency. It explores AI's application in financial services, emphasizing the importance of human-AI interaction and the challenges of managing legacy data. The speaker highlights the need for AI systems to be dynamic and improve over time, addressing ethical considerations and biases in data.

How has AI progressed over the past 20 years according to the speaker?

What are the most cutting-edge areas of research in AI currently?

What challenges does the speaker mention regarding feedback in AI systems?

What does the speaker mean by making AI systems more transparent?

In what ways does the speaker suggest AI can improve client services in financial institutions?

How does the speaker envision the future of AI in financial services?

How does the speaker describe the relationship between humans and AI in decision-making processes?

What techniques does the speaker mention for handling large amounts of data in financial services?

What is the significance of legacy data in the context of AI and financial services?

What ethical considerations does the speaker raise regarding AI decision-making in finance?