Data, AI, & 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.
Research shows how using an AI-augmented system may affect humans’ perception of their own agency and responsibility.
These developing issues should be on every leader’s radar screen, data executives say.
Companies from Zoom to Slack lean on the product itself to find customers, convert them to paying, and drive rapid growth in revenues and services — without adding more staff.
As we now know from the phenomenon of ChatGPT, generative AI has the potential to unlock trapped information from thousands of sources in an organization.