
构建包容的AI,不能忽视这26亿“离线者”
人工智能必须建立在具包容性和代表性的数据之上,而这一切始于“接入”。要实现人工智能的可持续、安全扩展,现代化数据基础设施至关重要。构建包容性的人工智能,需要协作治理,更需要对伦理设计的长期承诺。
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.
With over two decades of experience in the telecom and technology sectors, Harrison is directly collaborating 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 advantage of the Group's portfolio of brands in the 20 markets in which it operates, 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. During his time, he worked with technology providers across the value chain and technology buyers on their strategic agenda. He also 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).
人工智能必须建立在具包容性和代表性的数据之上,而这一切始于“接入”。要实现人工智能的可持续、安全扩展,现代化数据基础设施至关重要。构建包容性的人工智能,需要协作治理,更需要对伦理设计的长期承诺。
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