
构建包容的AI,不能忽视这26亿“离线者”
随着人工智能重塑全球经济,一个日益明确的事实是:人工智能的强大、公平性和洞察力,都源于其所学习的数据。而今天,数据仍无法讲述完整的人类故事——在一个近26亿人仍无法接入互联网的世界中,用于训练人工智能的数据尚未涵盖人类经验的全部多样性。
Harrison Lung is the Group Chief Strategy Officer of e&. He was appointed in May 2023 and oversees corporate strategy and planning, AI and data, Group transformation, ESG and sustainability, as well as corporate venture capital through e& capital.
With over two decades of experience in the telecom and technology sectors, Harrison works closely with e&'s management team and board of directors to develop the overall business strategy, set the direction of the Group and develop plans to achieve e&'s business objectives.
Harrison also focuses on maintaining e&'s position as one of the world's leading technology companies, developing the competitive edge of its portfolio across 38 countries, and allocating resources to support the Group's vision of connecting communities while creating value for customers and shareholders.
He has a wealth of expertise working internationally in strategy, management consulting, and private equity. Before joining e&, he was a Partner at Siris Capital, a leading New York-based private equity firm investing in core technology and telecom assets.
Harrison formerly held the positions of partner for technology, telecom, and digital in North America and Asia at McKinsey & Company. In that role he worked with technology providers across the value chain and technology buyers on their strategic agenda. He was a technical architect at Bell Mobility, Sprint Canada (now Rogers Communications), and Accenture's mobile technology department. He has published numerous articles in internationally renowned journals and is a frequent speaker and panel moderator as an industry thought leader at various technology conferences.
He holds a B.Sc. in Computer Engineering from the University of Waterloo and a dual M.B.A. from Cornell University (Johnson Graduate School of Management) and Queen's University (Smith School of Business). He is a licensed Professional Engineer (Ontario, Canada) and a Chartered Professional Accountant (British Columbia, Canada).
随着人工智能重塑全球经济,一个日益明确的事实是:人工智能的强大、公平性和洞察力,都源于其所学习的数据。而今天,数据仍无法讲述完整的人类故事——在一个近26亿人仍无法接入互联网的世界中,用于训练人工智能的数据尚未涵盖人类经验的全部多样性。
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