At Databricks, we have upheld rules of accountable improvement all through our long-standing historical past of constructing progressive information and AI merchandise. We’re dedicated to blue-sky analysis and open supply innovation — it is a part of our tradition and stems from our firm’s tutorial roots.
Constructing on this legacy, Databricks not too long ago joined a number of trade and authorities efforts to advertise innovation and advocate for using secure and reliable AI. Whether or not it is contributing insights from our Information Intelligence Platform for analysis or becoming a member of different trade gamers to teach policymakers on AI, Databricks is proud to be part of initiatives to speed up progress, enhance security, bolster safety and harness belief in AI.
Listed here are a few of the teams we have joined or are collaborating with:
The AI Alliance is a group of know-how creators, builders, and adopters collaborating to advance secure, accountable AI rooted in open innovation. The group is targeted on accelerating and disseminating open innovation throughout the AI know-how panorama to enhance foundational capabilities, security, safety, and belief in AI, and to responsibly maximize advantages to folks and society in every single place. The AI Alliance brings collectively a important mass of computing, information, instruments, and expertise to speed up open innovation in AI.
Nationwide Institute of Requirements and Know-how (NIST)’s U.S. Synthetic Intelligence Security Institute Consortium (AISIC)
Databricks is collaborating with the Nationwide Institute of Requirements and Know-how (NIST) within the Synthetic Intelligence Security Institute Consortium to determine a brand new measurement science that can allow the identification of confirmed, scalable, and interoperable measurements and methodologies to advertise the event of reliable Synthetic Intelligence (AI) and its accountable use.
NIST doesn’t consider business merchandise below this Consortium and doesn’t endorse any services or products used. Further info on this Consortium will be discovered at: https:/www.federalregister.gov/paperwork/2023/11/02/2023-24216/artificial-intelligence-safety-institute-consortium
Nationwide Science Basis (NSF)’s Nationwide Synthetic Intelligence Analysis Useful resource (NAIRR)
NAIRR is the NSF’s idea for a shared nationwide infrastructure to bridge the hole in AI analysis by connecting U.S. researchers to accountable and reliable AI assets, in addition to the mandatory computational, information, software program, coaching, and academic assets to advance analysis, discovery, and innovation. The purpose is to make sure that AI assets and instruments are equitably accessible to the broad analysis and training communities in a way that advances reliable AI and protects privateness, civil rights, and civil liberties. As a part of our work with NAIRR, Databricks will contribute an occasion of our Information Intelligence Platform, finally enabling the following era of scholars to create new breakthroughs and construct new companies in AI.
As the unique creators of standard open supply AI instruments and fashions, taking part in these efforts presents a chance for us to additional our mission to resolve the world’s hardest issues — and to assist and improve open innovation to democratize information and AI to profit society at massive. As different teams type, we’ll proceed to think about becoming a member of the organizations that share our imaginative and prescient for the secure, accountable, and collaborative use of AI.
Keep tuned for extra particulars on our learnings.