AI transparency
A.I. Technology’s Impact: Insights from Peter Moore in Colorado Sun
New York has enacted a law requiring state agencies to monitor and report on their use of generative AI. This move aims to enhance transparency and ensure responsible AI deployment in public services, as concerns over AI's impact and ethical implications grow.
AI Hype Faces Antitrust Scrutiny Amid Growing Regulatory Concerns
Concerns over AI's reliability and regulation are growing, as a recent study highlights the importance of trust and transparency in artificial intelligence. With a rise in optimism about AI, experts stress the need to address errors to mitigate risks and enhance user confidence in the technology.
# Why Most ‘Open’ AI Systems Are Not Truly Open
A recent report highlights that many Artificial Intelligence systems marketed as open are, in fact, closed off, raising significant concerns. This lack of transparency can hinder innovation, limit collaboration, and pose ethical challenges, calling for a re-evaluation of what is deemed "open" in AI systems.
Building Trust in AI Through Enhanced Explainability Solutions
Recent articles highlight the importance of explainability in AI to build trust and improve user experiences. From enhancing anti-money laundering efforts to improving chatbot interactions, transparent AI practices are deemed essential for effective communication and accountability in technology.
