R. F. Barber

Preface to 'advancing uncertainty quantification in artificial intelligence systems using conformal prediction'.

As artificial intelligence (AI) systems are being widely deployed in safety-critical and high-stakes applications (e.g. medical diagnosis, autonomous vehicles, financial risk assessment), there is a growing demand for providing reliable and trustworthy machine predictions. However, since AI models become more complex i...