The Growing Importance of Ethical Data Labeling
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 …
Topic: Reasonable AI
NIST: AI Bias Goes Way Beyond Data
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI
Leveraging Knowledge Graphs to Enrich Machine Learning
By combining knowledge graphs and machine learning, organizations can extend the capabilities of ML and ensure the results derived from their models have solid …
$580M to Anyone Who Can Understand What Happens Inside Our Favorite AIs?
It is relatively common knowledge that AI systems can exhibit biases that stem from their programming and data
Algorithmic Destruction: The Ultimate Consequences of Improper Data Use
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 …
Challenge: Mimic Humanity in Artificial Intelligence Systems
Reliance on AI has been growing exponentially, creating urgent demand for greater transparency and trust in AI
AI Summit NYC: A Return to Normal
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.
New Institute Infuses AI with an Inter-Disciplinary Twist
Amanda Stent, director of the newly formed Davis Institute for Artificial Intelligence at Colby College, shares her vision for the institute and the benefits …
Real-time Analytics News for Week Ending June 12
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.
The Ethics of Analytics: Answering the ‘Should We’ Question
Perhaps the time has come to define a set of ethics associated not with how the data is accessed or manipulated but with the purpose for which it is analyzed.
