Does your AI system comply with the law?
Patrick Hall, co-founder at bnh.ai, explains to Tonya Hall why data scientists must be aware of the legal and security pitfalls of their algorithms.
Latest from Tonya Hall
How an AI-powered tool can file your work expenses
Tonya Hall talks to Ritu Jyoti, global VP at IDC, about the sectors that are making the largest investments in AI and automation.
Targeting Cheetos: How PepsiCo uses AI to spot new customers
Tonya Hall talks with PepsiCo's Jeff Swearingen about how machine learning is used to tailor products and distribution to consumers.
An AI system that gives small businesses credit when they really need it
Tonya Hall talks to Prashant Fuloria, CEO at Fundbox, about how AI financial tools can fill the gaps left by banks.
How AI is speeding up our search for climate change solutions
Tonya Hall interviews Dr. Solomon Assefa, vice president at IBM Research, about how AI and quantum computing help us in the search of more efficient batteries.
When your teacher is an AI avatar
Natalie Monbiot, head of strategy at Hour One, explains to Tonya Hall how digital avatars could expand the reach of online education.
Insurance companies have a ton of data but only use very little of it
Tonya Hall interviews Paul Ford, CEO at Traffk, about bringing AI-based innovation to a legacy business like the insurance sector.
Don't like to speak on camera? Your AI character can do it for you
Tonya Hall talks to Natalie Monbiot, head of strategy at Hour One, about how synthetic AI characters based on humans could save businesses plenty of time but also create some ethical issues.
The value of natural language processing? It makes AI more human centric
Seth Dobrin, chief AI officer at IBM, talks to Tonya Hall about how natural language processing can make AI apps accessible to a wider audience.
Correlation does not imply causation: Getting this right in AI is key
Tonya Hall interviews Dr. Stefan Bauer, research group leader at Max Planck Institute for Intelligent Systems, about why is vital to have benchmarks for evaluating causal models in machine learning.