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Practicing strategy in an uncertain world

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This approach also mitigates groupthink and conservatism by reducing bias, which in practice means that "people in power will be less likely to give you the benefit of the doubt if you're different. And you respond to that by being more cautious," says Ibarra. And, according to Columbia's McGrath, "the answers to whatever your puzzle is may come from very unexpected places -- it could be a person who normally doesn't have access to power." Make this a routine, not a special exercise. And communicate the strategy -- and the need for change specifically -- in a way that is positive and personal.


Ángel Gurría on AI and Sustainable Business I London Business School

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OECD Secretary-General Ángel Gurría, explores the impact of AI on sustainable development goals, and addresses our anxieties as we move into the machine age. This event was moderated by Rajesh Chandy, Professor of Marketing and Academic Director of the Wheeler Institute for Business and Development.


Thinking ahead: AI and automating corporate ethics London Business School

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The issue of corporate ethics is never far from the business media headlines. Take the troubles embroiling former Nissan chair Carlos Ghosn, or the accounting problems at Patisserie Valerie in the UK, to name just two recent examples. Despite the best intentions and efforts of policymakers, legislators, boards and professional consultants, the corporate scandals keep coming. Now, to further complicate matters, the latest developments in the digital revolution are adding a new dimension to the challenge of ensuring companies and their executives behave responsibly. Ioannis Ioannou, Associate Professor of Strategy and Entrepreneurship at London Business School, and Sam Baker, Monitor Deloitte Partner, suggest that, while the widespread introduction of AI and machine learning technologies can be a force for good, without the right approach there is a risk that the corporate ethics waters become even murkier.


AI developers: don't forget ethics London Business School

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Human biases can become part of the technology people create, according to Nicos Savva, Associate Professor of Management Science and Operations at London Business School. A recent House of Lords Select Committee on Artificial Intelligence (AI) "AI in the UK: Ready, Willing and Able?" urged people using and developing AI to put ethics centre stage. The committee suggested a cross-sector AI Code, with five principles that could be applied globally including that artificial intelligence should "be developed for the common good and benefit of humanity" and should "operate on principles of intelligibility and fairness". The committee's chairman, Lord Clement-Jones, said in a statement: "The UK has a unique opportunity to shape AI positively for the public's benefit and to lead the international community in AI's ethical development, rather than passively accept its consequences." He added that "AI is not without its risks".


2 reasons you need to experiment with AI right now London Business School

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Which statement do you believe? Robots will wipe out our jobs. AI and robotics will make everything free. These extreme viewpoints are both vying for our attention. Singularity University, which aims to solve our global grand challenges through exponential technologies, widely reports that AI is the world's cure.


Will creative machines take people's jobs London Business School

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Ed Rex believes we're heading towards a world where artificial intelligence will master creativity. Professor Lynda Gratton explains how people should prepare for it. "The secret to creativity is knowing how to hide your sources." This quote is often attributed to Albert Einstein but also to philosopher C.E.M. Joad, among others: a well-hidden source indeed. But the idea behind the phrase raises questions: if creativity is copied, is it original?


An Overview of Startups Advancing the Deep Learning in Healthcare Revolution

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During the Deep Learning in Healthcare Summit in London last week we hosted the'Shaping Tomorrow' startup session to showcase innovative startups applying cutting-edge deep learning algorithms and tools to advance healthcare and medicine. Daria Danilina, an MBA student from London Business School, attended the event and kindly summarised the startup presentations. Key take-away: Humans are trained to identify certain patterns. However, we tend to overlook things which we do not expect to see or are not trained to detect. In addition to this, anomalies exist that are impossible to identify for human eyes, such as tumours composed of soft tissue.