Transparency is sorely lacking amid growing AI interest
Summary
"To truly bring AI everywhere, the technologies used must provide accessibility, flexibility, and transparency to individuals, industries, and society at large," Alexis Crowell, Intels Asia-Pacific Japan CTO, said in a statement. Also: AI and advanced applications are straining current technology infrastructures Contrary to common belief, accuracy does not have to come at the expense of transparency, Crowell said, citing a research report led by Boston Consulting Group. The report looked at how black- and white-box AI models performed on almost 100 benchmark classification datasets, including pricing, medical diagnosis, bankruptcy prediction, and purchasing behavior. Models are trained off large volumes of data provided by people with copyrights and using these AI systems responsibly means adhering to the licenses that they use, Hicks said during a virtual media briefing this week on the back of Red Hat Summit 2024. "With InstructLab alignment tools, Granite models, and RHEL AI, Red Hat aims to apply the benefits of true open-source projects -- freely accessible and reusable, transparent, and open to contributions -- to GenAI in an effort to remove these obstacles."