Krish Swamy, Dan Jermyn and others on a just-released AI 100 list say they expect investment in AI to keep increasing.

Air Canada was penalized for misinformation generated by its chatbot; Patagonia has been accused of letting a vendor's AI model analyze customer service conversations without consent. These cases have parallels in banking, where many institutions use AI-based chatbots and contact center software.

Financial institutions have trouble pinning down a common definition of AI and figuring out which of their processes incorporate the technology. That can lead to trouble with regulators.

Generative AI is exciting, but has limited fraud-busting utility. Instead of rushing to implement gen AI-powered anti-fraud initiatives, banks should focus on strengthening their existing security measures.

Banks weigh in on the fallout from CrowdStrike's outage, Patelco Credit Union navigates an ongoing legal battle over ransomware attack, JPMorgan Chase's tech usage for fighting fraud and more.

Witnesses from companies across financial services and housing, including a credit union and a core services provider, attested to the value of AI in fighting fraud and boosting customer service at a hearing in the House of Representatives.

FactSet, Brightwave and Bloomberg are among those offering generative AI models that do research legwork. But Wall Street firms have lately been taking a harder look at the cost and return of generative AI.

The Consumer Protections for Artificial Intelligence bill passed in May seeks to enhance consumer protections from the potential biases in AI systems through increased transparency and accountability from developers.