Remove AI Developer Remove AI Strategy Remove Explainable AI
article thumbnail

How the EU AI Act and Privacy Laws Impact Your AI Strategies (and Why You Should Be Concerned)

Unite.AI

Navigating this new, complex landscape is a legal obligation and a strategic necessity, and businesses using AI will have to reconcile their innovation ambitions with rigorous compliance requirements. GDPR's stringent data protection standards present several challenges for businesses using personal data in AI.

article thumbnail

AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

For example, an AI model trained on biased or flawed data could disproportionately reject loan applications from certain demographic groups, potentially exposing banks to reputational risks, lawsuits, regulatory action, or a mix of the three. The average cost of a data breach in financial services is $4.45

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Build AI That Customers Can Trust

Unite.AI

Ensures Compliance : In industries with strict regulations, transparency is a must for explaining AI decisions and staying compliant. Helps Users Understand : Transparency makes AI easier to work with. Make AI Decisions Transparent and Accountable Transparency is everything when it comes to trust.

article thumbnail

With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

However, only around 20% have implemented comprehensive programs with frameworks, governance, and guardrails to oversee AI model development and proactively identify and mitigate risks. Given the fast pace of AI development, leaders should move forward now to implement frameworks and mature processes.