Empowering: Can We “Have It All” Responsible AI


Date & Time

Thursday, 28 Feb

09:15 - 10:45


Hall 4 - Auditorium A


09:15 – 09:20 Welcoming Remarks 09:20 – 09:25 Keynote 09:25 – 09:35 GLOMO Awards Presentation The mobile industry’s most coveted awards – two exclusive industry awards are presented during the Summit, recognising both an individual and an organisation for their dedication and establishment of initiatives that encourage and retain women, and girls, in the mobile and tech industries. 09:35 – 10:10 What does it take to “Have It All”? Women and men can feel a certain level of pressure and expectaiton to lead a “perfect” life - achieving in all areas and somehow not only balancing, but excelling in all areas, including personal lives, parenthood and career ambitions. But however much an individual may push to have it all, there are also key factors, some of which may be beyond our control, but these can heavily influcence, and event pre-determine, our likelihood to achieve. The right societal conditions are key – governments, culture and policy are all fundamentally important, as is the need for support at a company level and lastly, it is crucial to have the right personal conditions – whether that be a supportive partner or family set up. There’s also a key question on the individual level of what’s right for who, and when? Having it all is never going to be easy – join this panel as they debate what it takes to have it all, and more importantly, do we want it? 10:10 – 10:45 Are We Facing a Talent Crisis in AI? As we enter a world where AI becomes more utilised and relied upon to deliver insights and enhance our lives in a multitude of areas, it is important that we ensure responsible development and deployment of AI. But are we in the midst of a diversity talent crisis in AI, with a homogenous pool of developers - and what does this ultimately mean for societal attitudes to women and minorities. Are we straying into dangerous territory, with AI further reinforcing stereotypes and unconscious bias? 10:10 – 10:14 Introduction 10:14 – 10:20 Keynote: Creating Equal AI 10:20 – 10:45 Panel Discusssion

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