Jan. 10, 2024, 5 p.m. | Brenda Potts

Microsoft Research www.microsoft.com

Editor’s note: All papers referenced here represent collaborations throughout Microsoft and across academia and industry that include authors who contribute to Aether, the Microsoft internal advisory body for AI ethics and effects in engineering and research. A surge of generative AI models in the past year has fueled much discussion about the impact of artificial […]


The post Advancing transparency: Updates on responsible AI research appeared first on Microsoft Research.

academia ai ethics ai models ai research authors collaborations editor effects engineering ethics generative generative ai models impact industry microsoft papers research research blog responsible ai the microsoft transparency updates

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US