March 28, 2024, 6:09 p.m. | Dr. Tony Hoang

The Artificial Intelligence Podcast linktr.ee

AI Ph.D. graduates are increasingly choosing to work for large technology companies, which could have negative implications for open innovation. The debate between open and closed AI models is overshadowing a comprehensive understanding of openness in AI. Open science, transparency, and equity are crucial for developing AI that serves the public interest. The Partnership on AI exemplifies open innovation by bringing together academia, civil society, industry partners, and policy-makers to collaborate on AI challenges. Public funding and open publication of …

ai development ai models challenges companies development equity graduates innovation negative open science science tech technology transparency understanding work

More from linktr.ee / The Artificial Intelligence Podcast

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Field Sample Specialist (Air Sampling) - Eurofins Environment Testing – Pueblo, CO

@ Eurofins | Pueblo, CO, United States

Camera Perception Engineer

@ Meta | Sunnyvale, CA