The Algorithmic Accountability Act was reintroduced in April 2022 in both the US House and Senate. AI bias, audit, and reporting are all key factors in the new act. Here's what tech leaders need to know and do now. (Article)

The machines are coming for financial crime—or at least machine learning is—as an explosion in AI offerings is driving a shift in what enforcers could expect from financial institutions and corporations. How banks are turning to AI to help dodge the enforcement spotlight. (Article)

Financial organizations that embrace digital and analytics as necessary instruments to augment decision making will have an enormous advantage over those that continue to rely on personal judgment and incomplete data. Already, the adoption of digital technology at scale is creating a new breed of investors who are faster and better at identifying and evaluating opportunities. (Article)

“As more and more AI is entering into the world, more and more emotional intelligence must enter into leadership.” ― Amit Ray

“Only 14% of banks have a specific AI governance framework.” – McKinsey

What is needed to build and sustain relationships with key stakeholders throughout your organization's AI/ML development lifecycle?

... and a short update on Apres

👉 If you enjoy or get value from this newsletter, please share it with others! If you were referred by a friend, you can subscribe here & follow Apres on LinkedIn and Twitter.