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 …
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.
Time to Clear Out the Sexism in Artificial Intelligence
The bias seen in images generated by artificial intelligence is pervasive and difficult to address.
Real-time Analytics News for Week Ending April 24
In this week's real-time analytics news: Several AI educational efforts launch, NVIDIA intros new tools for data scientists, and several offerings that address …
AI Bias: FTC Cautions Businesses and Offers Guidance
While AI bias is a relatively new concern, the FTC has decades of experience enforcing bias laws that are relevant to today's
Responsible AI: Balancing AI’s Potential with Trusted Use
Companies must adopt responsible AI methodologies in order to ensure their algorithms and applications are fair and trustworthy.
U.S. AI Priorities Gleaned from Biden SciTech Appointees
The social impact of AI, both negative and positive, will likely play an essential role in how the U.S. government approaches the new tech for the next four …
