Three Methods Researchers Use To Understand AI Decisions
Making sense of AI decisions is important to researchers, decision-makers, and the wider public. Fortunately, there are methods available to ensure we know …
Making sense of AI decisions is important to researchers, decision-makers, and the wider public. Fortunately, there are methods available to ensure we know …
For data labeling to be ethical and truly successful, organizations need to ensure that the people behind the tech feel that they are involved in the world …
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI
By combining knowledge graphs and machine learning, organizations can extend the capabilities of ML and ensure the results derived from their models have solid …
It is relatively common knowledge that AI systems can exhibit biases that stem from their programming and data
The FTC is serious about data being properly collected and used. In several cases, it has ordered what is called the algorithmic destruction of AI systems …
Reliance on AI has been growing exponentially, creating urgent demand for greater transparency and trust in AI
This year’s AI Summit returned to an in-person event where many of the sessions focused on the need for responsible AI and ethical AI to eliminate bias.
Amanda Stent, director of the newly formed Davis Institute for Artificial Intelligence at Colby College, shares her vision for the institute and the benefits …
In this week's real-time analytics news: A bevvy of news from the Snowflake Summit, new Sumo Logic offerings aim for modern security operations, and more.