Although there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent — people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security,...
Tariq King
Tariq King is a recognized thought-leader in software quality engineering. He is currently the CEO and Head of Test IO, an EPAM company that specializes in crowdsourced and professional testing, development, and automation services. Tariq has over fifteen years' professional experience in the software industry, and has formerly held positions including VP of Product-Services, Chief Scientist, Head of Quality, Quality Engineering Director, Software Engineering Manager, and Principal Architect. He holds Ph.D. and M.S. degrees in Computer Science from Florida International University, and a B.S. in Computer Science from Florida Tech. He has published over 40 research articles in peer-reviewed IEEE and ACM journals, conferences, and workshops, and has written book chapters and technical reports for Springer, O'Reilly, IGI Global, and more. Tariq has been an international keynote speaker and trainer at leading software conferences in industry and academia, and serves on multiple conference boards and program committees. Outside of work, Tariq is an electric car enthusiast who enjoys playing video games and traveling the world with his wife and kids.