Reskilling & Upskilling Talent in the Age of AI
Upskilling AI talent is not just a necessity but a moral imperative to shape a future where AI is used ethically and responsibly.
Topic: Reasonable AI
Is AI Advancing Too Quickly?
Until AI advances to the point where it can actually think for itself, understand, and exhibit something that more closely resembles human-like intelligence …
Why AI Needs Us More Than We Need AI
With the rapid adoption of AI, it is imperative that companies regularly evaluate their technologies and processes to ensure they are ethically and responsibly …
Explainable AI (XAI): The Key to Building Trust and Preparing for a New Era of Automation
XAI provides full insight into what decisions a system is making and why, which, in turn, identifies what data can be trusted and what data should be cast …
ACM Pushes For Safety Culture In Algorithm Design
The ACM has called on developers to foster safety cultures with algorithm development, and to promote internal and external
FICO Warns Financial Services Dodging Responsible AI Initiatives
Even with the growth in demand for AI-driven financial products and offerings, many financial services firms have yet to develop and hold themselves …
Generative AI: When Reality is Uncertain, Authenticity is Key
As enterprises seek to unlock the opportunities of synthetic reality created by generative AI, building trust will be
Real-time Analytics News for Week Ending January 21
In this week's real-time analytics news: The IEEE and the IEEE Standards Association (IEEE SA) announced a program that provides guidance on trustworthy
State of AI Report Notes Continued Challenges
The misunderstandings business leaders have about the inner workings of AI and machine learning processes could continue to hamper adoption.
Study Outlines Industry and Public AI Perceptions
Although public perception is changing, there’s still a serious disconnect. The public today still isn’t quite sure what positive benefits AI brings to …
