Since September 2022, online searches for the term ‘generative AI’ have increased by 7900%, according to Google Trends. It is impossible to escape the impact of this technology. As it permeates every field from content creation to healthcare diagnostics and self-driving…
Effective model risk management framework for AI/ML based models
In the past few years, Artificial Intelligence (AI)/Machine Learning (ML) models have become prominent instruments in a multitude of sectors. However, alongside these transformative benefits, the adoption of AI/ML models has introduced challenges which could potentially increase risks in the entire…
Empowering ethical AI: trust, transparency and sustainability in action
The EU AI Act is landmark legislation that addresses the risks and vulnerabilities that traditional data protection frameworks may not cover. We are taking advantage of the opportunities it presents by focusing on compliance strategies and adapting AI offerings to align…
Faceoff: Auditable AI Versus the AI Blackbox Problem
For some, auditable AI is the same as explainable AI. For others, it means something entirely different. Meanwhile, FICO is using it to determine your credit scores. Here’s what all that means. Fears surrounding artificial intelligence are all based on one…
Industry and Academia Discuss AI Explainability and Its Immediate Impact in Expert Panel
NEW YORK–(BUSINESS WIRE)–Last week, leading experts from academia, industry and regulatory backgrounds gathered to discuss the legal and commercial implications of AI explainability. The industry and academia panel discussion, hosted by Professor Shlomit Yaniski Ravid of Yale Law and Fordham Law,…
Latest World Tech News: AI, Robotics, Trends
In today’s rapidly evolving technological landscape, artificial intelligence stands at the forefront of innovation, advancing at an unprecedented pace globally. From autonomous systems to predictive analytics, AI technologies are transforming industries and redefining human-machine interactions at a velocity that challenges our…
Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms
The private and public sectors are increasingly turning to artificial intelligence (AI) systems and machine learning algorithms to automate simple and complex decision-making processes.1 The mass-scale digitization of data and the emerging technologies that use them are disrupting most economic sectors,…
Is AI in medicine playing fair? Researchers stress-test generative models, urging safeguards
As artificial intelligence (AI) rapidly integrates into health care, a study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may recommend different treatments for the same medical condition based solely on a…
Generative AI security best practices to mitigate risks
When tackling AI security issues, enterprises should minimize shadow IT risks, establish an AI governance council and train employees on the proper use of AI tools. For the second consecutive year at Enterprise Connect, I moderated a panel discussion about generative…
AI adoption challenges: an ethical dilemma for auditors
Artificial intelligence offers a lot of opportunities for audit firms and practitioners, but implementing AI solutions into audit functions comes with some complicated considerations. Two years prior to his retirement, William Gee, Vice Chair for the ICAEW Tech Faculty Board and…