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Our guest today is Samuel Cohen, PhD student at University College London (UCL) and visiting research scientist at Facebook AI Research (FAIR).
In our conversation, we first dive into Samuel's first experience in AI, an internship at Check Point Software Technology where he developed a Machine Learning algorithm to detect malicious software (malware) on Android devices. We then dig into his PhD before focusing on his research at FAIR where Samuel works on imitation learning from images. We finally explore the main challenges behind AI and Ethics, a field that he is particularly interested in. We discuss various topics including what a biased dataset actually means, regulations in the field and potential solutions to shape a future of ethical AI.
Throughout our conversation, Samuel also gives various advice on succeeding in academia and choosing the right career path.
By Neil LeiserOur guest today is Samuel Cohen, PhD student at University College London (UCL) and visiting research scientist at Facebook AI Research (FAIR).
In our conversation, we first dive into Samuel's first experience in AI, an internship at Check Point Software Technology where he developed a Machine Learning algorithm to detect malicious software (malware) on Android devices. We then dig into his PhD before focusing on his research at FAIR where Samuel works on imitation learning from images. We finally explore the main challenges behind AI and Ethics, a field that he is particularly interested in. We discuss various topics including what a biased dataset actually means, regulations in the field and potential solutions to shape a future of ethical AI.
Throughout our conversation, Samuel also gives various advice on succeeding in academia and choosing the right career path.

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