AI and Machine Learning
Auditing Algorithmic Risk
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
Deep underlying regularities in AI reveal predictable trends, empowering informed decision-making.
Machine learning solutions can miss the mark when data scientists don’t check their assumptions. Adopting a beginner’s mindset in any domain can help.
The NextTech Summit 2024 focused on practical applications of advanced AI, its transformative potential and highlighted the importance of safety and collaboration in leading with emerging technologies.
As MENA enterprises look to profit from advances in artificial intelligence, demand for trusted, secure data has intensified. How can organizations prioritize data integrity and transparency to unlock AI's full potential?