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Capgemini Launches New Advanced Research Project With the Massachusetts Institute of Technology
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Rhea-AI Summary
Capgemini has launched a new research collaboration with the Massachusetts Institute of Technology (MIT) focusing on enhancing trust in AI and autonomous systems.
Headed by Andy Vickers from Capgemini Engineering and Professor Daniela Rus from MIT CSAIL, the project aims to validate and certify AI systems to support their interpretability and safety.
CEOs from both organizations emphasized that this partnership will help achieve a high level of confidence in AI systems, crucial for the advancement of the Intelligent Industry.
Positive
Collaboration with MIT aims to enhance trust in AI systems.
Project addresses key safety and interpretability issues in AI.
Focus on innovation and research expansion in AI technologies.
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The collaboration will focus on establishing new paradigms for building trust in AI and autonomous systems
NEW YORK--(BUSINESS WIRE)--
Capgemini announced today the launch of a new research collaboration project with the Massachusetts Institute of Technology (MIT).
Part of the Capgemini Group and world leader in engineering and R&D services, Capgemini Engineering, is developing a program in collaboration with the university ecosystem around cutting-edge technologies, and will develop thought leadership, assets, and services that help strengthen trust in future technologies. The collaboration will also focus on addressing how technology can help solve the key challenges of a more intelligent industry in society.
Andy Vickers, Head of Hybrid Intelligence at Capgemini Engineering, together with a team of specialists in data science and AI, will work with a team of researchers led by Professor Daniela Rus, Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), on the validation, assurance, and certification of Artificial Intelligence, and on supporting the interpretability and auditability of learned control systems.
“Together we have defined a shared goal of creating a robust interpretability framework for today’s AI systems, which is important for safety-critical applications. We look forward to working closely with Capgemini Engineering to foster this vision of the future,” said Professor Daniela Rus, Director, MIT Computer Science and Artificial Intelligence Laboratory.
“Achieving a high level of confidence and trust in AI-based systems is a key enabler for realizing the Intelligent Industry, so we are thrilled to collaborate with MIT on this demanding topic and we will continue to expand our strategic research program to nurture our focus on innovation,” said William Rozé, CEO of Capgemini Engineering and Group Executive Board Member.
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 325,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion.
Capgemini Engineering is an integral part of the Capgemini Group. World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.