78. What That Means with Camille: Intelligent Systems, Pt1

<p>In this episode of Cyber Security Inside What That Means, Camille explores intelligent systems and artificial intelligence with Lama Nachman, Intel Fellow and Director of Human & AI Systems Research Lab. The conversation covers:</p> <p><span style="font-weight: 400;">-  Intelligent systems using a combination of observation, social science, artificial intelligence and more to improve human experience.</span></p> <p><span style="font-weight: 400;">-  The difference between a full virtual setting and one that is a balance of virtual and analog.</span></p> <p><span style="font-weight: 400;">-  What type of devices are used to observe and improve day-to-day activities, and how they work.</span></p> <p><span style="font-weight: 400;">-  How privacy and ethics play a role in these systems as the digital and physical worlds become more blended.</span></p> <p><span style="font-weight: 400;">...and more. Don’t miss it!</span></p> <p> </p> <p><em><span style="font-weight: 400;">The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.</span></em></p> <p><br /> <br /></p> <p><strong>Here are some key takeaways:</strong></p> <p><span style="font-weight: 400;">-  Intelligent systems research is focused on using social science, design, AI, hardware engineering, and software engineering to augment and amplify human capabilities and experiences with AI. </span></p> <p><span style="font-weight: 400;">-  This is more than just improving your experience when using your PC or device. It is about improving your day-to-day tasks using technology in the physical environment. </span></p> <p><span style="font-weight: 400;">-  The idea is that humans are really good at some things, and AI is really good at others. And oftentimes these aren’t the same things. For example, AI is really good at processing huge amounts of data, which humans can’t do efficiently. If we can put these things together - what a human is good at and what an AI is good