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In July 2018, Facebook, the world’s biggest social network, said it would recruit high-profile engineers and expand its AI-research division to roughly 170 scientists and engineers across eight global offices1. The expansion of the international labs and new academic partnerships will be devoted to the study of robotics, virtual animation, learning machines and other forms of AI. While Facebook’s AI rivals have developed automated voice assistants, such as Amazon’s Alexa, or spearheaded breakthroughs in gaming, robotics or self-driving cars, the social network has devoted much of its AI engineering to analysis of images, video and text — facial recognition, language translation and detection of unwanted content or harmful comments. Facebook’s global expansion, beginning with labs in Paris and Montreal three years ago, has allowed the company to secure a seat near top universities, research institutes and other “talent factories” where AI researchers and academics are at work. Google recently announced it would open an AI lab in Accra, the capital of Ghana, in hopes of attracting AI talent from across West Africa.
1. Critically evaluate the internal and external context of Facebook’s strategy.
2. Identify and explain the risks associated with Facebook’s AI strategy.
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