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.
Many companies develop AI models without a solid foundation on which to base predictions — leading to mistrust and failures. Here’s how statistics can help improve results.
The telecom giant is conducting intensive research into 6G networks in Saudi Arabia and Turkey.
The complexity of redesigning network architecture and integrating new security technologies poses a challenge.
Lessons from two leading hospital systems show how to overcome the obstacles to automation.