May 12, 2021 – BOSTON – DataRobot, the leader in enterprise AI, today announced that it has joined the ‘Shaping the Future of Technology Governance: Artificial Intelligence and Machine Learning’ initiative launched by the World Economic Forum to accelerate the societal benefits of AI and machine learning while ensuring equity, privacy, transparency, accountability, and social impact.
This initiative brings together key stakeholders from the public and private sectors to co-design and test policy frameworks that accelerate the benefits and mitigate the risks of AI and machine learning. Project areas include standards for protecting children, creating an AI regulator for the 21st century, and addressing the unique challenges of facial recognition technology. As members of the initiative, DataRobot will work closely with researchers, organizations, and other key stakeholders to drive new understandings of how AI can and should be used to better society, while ensuring use cases are ethical and equitable.
Ted Kwartler, VP of Trusted AI at DataRobot, said, “As a leader in artificial intelligence and machine learning, it is our responsibility to play an active role in ensuring that AI will be used for the betterment of society. We are standing at a critical technological moment in history for companies to drive change and shape a more equitable, AI-powered future for the benefit of all, not just the benefit of a few. With the goal of improving organizational behavior widely and continuing to do good with technology, we are pleased to join forces with the World Economic Forum to make new alliances, start new conversations, and mobilize the resources needed to make the world of technology more sustainable and inclusive. We are excited to take part in this valuable platform, share our learnings across the industry, and work with the World Economic Forum to build a more ethical, explainable, and equitable AI ecosystem.”
DataRobot’s partnership with the World Economic Forum follows its long-standing commitment to AI trust, governance, and ethics, highlighted by the formation of a Trusted AI team in 2019, which is led by Kwartler. The team’s mission is to build and deliver trustworthy and ethical AI systems and provide actionable guidance for the company’s customers. These customers include some of the largest banks in the world, top U.S. health insurers, and defense, intelligence, and civilian agencies within the federal government.
“Machine learning and artificial intelligence are rapidly advancing and are being deployed across all aspects of daily life. As this technology continues to develop and adoption grows, collaboration across organizations is essential to optimizing accountability, transparency, privacy, and impartiality. This initiative brings together experts who are not only looking to explore the positive impact AI can have on society at large, but who will also ensure trust in the organizations and individuals leveraging the technology,” said Kay Firth-Butterfield, Head of AI & Machine Learning and Member of the Executive Committee of the World Economic Forum.
To learn more about DataRobot’s commitment to ensuring ethical, trustworthy, and unbiased AI and machine learning, visit www.datarobot.com/platform/trusted-ai/.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.
DataRobot has offices across the globe and funding from some of the world’s best investing firms including Alliance Bernstein, Altimeter, B Capital Group, Cisco, Citi Ventures, ClearBridge, DFJ Growth, Geodesic Capital, Glynn Capital, Intel Capital, Meritech, NEA, Salesforce Ventures, Sands Capital, Sapphire Ventures, Silver Lake Waterman, Snowflake Ventures, Tiger Global, T. Rowe Price, and World Innovation Lab. DataRobot was named to the Forbes 2020 Cloud 100 list and the Forbes 2019, 2020, and 2021 Most Promising AI Companies lists, and was named a Leader in the IDC MarketScape: Worldwide Advanced Machine Learning Software Platforms Vendor Assessment. For more information visit https://www.datarobot.com/, and join the conversation on the DataRobot Community, More Intelligent Tomorrow podcast, Twitter, and LinkedIn.