Bias in machine learning and artificial intelligence is a human problem that results from human choices. The solution is human oversight of machine decisions.
In this episode of Following the Thread, Monitaur's CEO shares his thoughts on AI principles as vital starting points for proving best intentions to regulators.
Reviewing the latest stories, our CEO discusses the importance of developing accountability and auditability to overcome the black box of ML systems.
Anthony Habayeb, Monitaur's Co-founder and CEO, launches our Newsletter and discusses the latest news, from facial ID disasters to new regulatory frameworks for AI.
Monitaur Co-founder and CTO, Andrew Clark, joins the Talk Python To Me podcast to discuss how to monitor and audit machine learning systems with host Michael Kennedy.
Challenged to make a list of the top 10 machine learning controls, Monitaur's CTO came up with this list to provide adequate assurance for responsible AI deployments.
AI and ML systems can unleash huge innovation and progress in many industries. But getting assurance for your ML systems requires a new paradigm and a new approach.
Increasingly, decisions about our lives are being made by complex, opaque ML models that pose regulatory and reputational risks to companies. Monitaur is here to help.