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  • The EU AI Act: An Enterprise Response Strategy

    May 30, 2024

Insights

  • The EU AI Act was approved by MEPs in March 2024, with key provisions taking effect around summer 2026.
  • However, specific provisions for risky systems will start in late 2024.
  • Infringements related to prohibited systems amount to either €35,000,000 or 7% of a firm’s worldwide annual turnover for the previous financial year, whichever is greater.
  • It is therefore paramount that organizations build an adequate response strategy to the act, across people, process, and technology.
  • The 10-pronged approach outlined here will enable firms to mitigate risk, embed responsible by design into key products and processes, increase AI preparedness, and drive innovation.

About the Authors

Harry Keir Hughes

Harry Keir Hughes

Harry works to help evangelize and amplify the data science coming out of our research team, through compelling narrative and data analysis. He also takes pride in working with SMEs throughout the organization who have a finger on the pulse of what’s next in AI and Digital and how clients can best onboard this technology in their own business.

Harry studied at the University of Cambridge where he received an Honorary Masters in Engineering. His dissertation covered statistical pattern processing and machine learning. His tenure prior to joining the Infosys Knowledge Institute included a role within BAE Systems Intelligence, where he analyzed credit fraud for major banks and telecoms operators. He also has a pedigree in journalism, having worked for the Telegraph in the UK, and Quintessentially, a luxury lifestyle conglomerate.

Kate Bevan

Kate Bevan

Kate is a senior editor with the Infosys Knowledge Institute and the host of the AI Interrogator podcast. This is a series of interviews with AI practitioners across industry, academia and journalism that seeks to have enlightening, engaging and provocative conversations about how we use AI in enterprise and across our lives. Kate also works with her IKI colleagues to elevate our storytelling and understand and communicate the big themes of business technology.

Kate is an experienced and respected senior technology journalist based in London. Over the course of her career, she has worked for leading UK publications including the Financial Times, the Guardian, the Daily Telegraph, and the Sunday Telegraph, among others. She is also a well-known commentator who appears regularly on UK and international radio and TV programmes to discuss and explain technology news and trends.

Mona Dash

Mona Dash

Mona Dash heads Infosys Topaz, an AI First suite of offerings, in Europe. Mona is a seasoned Tech sales leader with over twenty years of experience in Europe, in complex solution sales in the OSS, BSS and more significantly in the Automation and AI solutions space. She works across the partners ecosystem and industry verticals with a view to articulate and enable Infosys service lines and customers with AI led and enabled programs. She is a Telecoms Engineer, holds an MBA and also a Masters in Creative Writing. She is an award-winning author of five published books, has been featured in more than thirty anthologies, and is also a public speaker. With this intersection between Technology and Creativity, she is both excited and cautious about the possibilities and challenges Generative AI offers.

Syed Ahmed

Syed Ahmed

Syed heads the Infosys Responsible AI Office and is an innovation leader for AI at Infosys. He plays a pivotal role in steering the Responsible AI track as part of Infosys's AI-first initiative. His responsibilities include building technical and policy-driven guardrails to integrate Responsible AI across internal and external pursuits, collaborating with legal and security teams, the data privacy office, and external stakeholders such as industry bodies, government agencies, and think tanks. Additionally, he oversees product development and AI research for Infosys Topaz suite and manages the partner ecosystem in the AI space, ranging from startups to hyper scalers.

Ritarshi Chakraborty

Ritarshi Chakraborty

Ritarshi is an AI researcher and data scientist at the Infosys Topaz Center of Excellence. He is involved in the development of advanced AI platforms and products in computer vision, generative AI, responsible AI, deep learning, digital twins under the Infosys Topaz umbrella. He has played a critical role in all stages of enterprise AI lifecycle from concept to creation and final deployment for large AI transformation programs for Infosys and its clients. Proficient in several AI frameworks and stacks, he has worked with Infosys partners like Microsoft, AWS, NVIDIA, and numerous startups to co-create joint solutions. He has also worked across different industry verticals like telecommunications, retail, and financial services to develop industry blueprints for leveraging AI, discovering the right AI use-cases, chalking out a strategic roadmap for implementation, and helping CXO’s develop an enterprise AI strategy.

He is also a founding member of the Infosys Responsible AI Office and has worked on operationalizing enterprise AI in Infosys by designing and developing technical guardrails, policies and governance mechanisms and embedding “Responsible by Design” processes. He is also actively involved in shaping Infosys thought leadership, frameworks and point of views for democratizing AI.

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