From the course: DJ Patil: Ask Me Anything
What is an example of robust machine learning?
From the course: DJ Patil: Ask Me Anything
What is an example of robust machine learning?
(upbeat music) - [Interviewer] A lot of people think of machine learning and they might think of calling customer service and getting that machine that tries to route you to the right person. Can you give an example of a more robust machine learning application, currently in use? - Yeah, so, oftentimes, you know, just a few years ago, the maximum use of AI was finding cat photos on the web, (laughs) but think about today and how AI is being used. There's obviously the classic ones that people think about, is how people are using it to advertise better, but let me give you an example that people don't think about. We had a team that went in, of data scientists from the university of Chicago, at the fellowship program that takes data scientists and has them work on problems of social good. They went to a police department in the South and what they were focused on is this question of when is an officer likely to be, can you tell if an officer's going to have, use excessive force? And so they had access to all the data, and they were riding along with the officers, and so they started to ask this question of, like, hey, can we use machine learning, AI, against this? And so they start looking for the features, and one of the first things when you're using machine learning is, you get these descriptors that describe, you know, sort of the elements of what the problem is, so a variable in that case might be, oh, this officer has lots of complaints, or this officer has a track record of accidents, or other type of things. And so we're first to remember, most officers, by and large, are good, hardworking people. There's a signal in the noise problem. There's a small number, given the large number of officers, so, how do you find that? Well, the machine learning finds very quickly the first set of variables are those ones, of complaints, accidents, other than those obvious things, but here's what's interesting, is about halfway down in the feature set, two variables show up, two features show up. One is the officer responded to domestic violence where a child was present. The second one is, the officer responded to a call of a suicide. So, why those two features, and what's going on here? Well, this case, the data scientists are bolted on with the officers in the ride alongs, so they see it right away. What's happening, they realize, is this officer has responded, the suicide is physically messy, it's a tough emotional environment, same with domestic violence where a child is present, this is very emotional. Once they're complete with that incident, they may not be the person who's having to write the report or other things, but what does dispatch do? Sends them back out on the street. Go back on patrol. It doesn't do the hard work of saying, hey, you know what, maybe this officer needs some time to decompress. So now if this officer pulls over somebody with a broken taillight and they're flippant, they may not have the right emotional response, and so, in this case, the machine learning could be designed to actually build a smart dispatch system that takes that into account. And it's crazy to me that we can figure out how to move through traffic (laughs) with using machine learning, to figure out, like, hey, this route is better than this route, but we're not applying it to this problem of how to ensure that the public is taken care of, and the officer is well taken care of, 'cause they need the time to emotionally, you know, decompress, and so this way of thinking about where AI is happening, is not the typical example, in all, there's so many more cases where the untypical examples are going to become easier, and it's not just about finding the solution, it's about, how do you carry that finding into developing a new system, which is the dispatch system in this case. That's the beginning, and we've just barely begun to apply this in machine learning, AI, for health care, or in drug discovery, or these type of applications. (upbeat music)
Contents
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What were you like as a kid?3m 17s
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How did your parents influence you?1m 55s
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How did you navigate college?4m 7s
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What are some fond memories from grad school?2m 45s
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How can we foster learning for everyone?5m 9s
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What's the importance of learning liberal arts?2m 30s
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What advice do you have for job seekers?3m 23s
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How did data science come about?4m 8s
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What does it take to be a data scientist?4m 1s
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Why is apprenticeship important?3m 41s
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How can a data scientist influence policy?2m 20s
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How can I prepare for data science in college?4m 56s
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How can hackathons benefit me?1m 30s
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How did you use data in grad school?2m 15s
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How is data used in the US?3m 55s
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How is data used worldwide?1m 38s
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How do you expose holes in cybersecurity?3m 32s
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How can we educate people about hacking?2m 30s
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What are the real threats to personal data?4m 6s
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Should we focus on media headlines?1m 39s
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How can we educate people about data use?3m 34s
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How can people fight for data privacy?2m 46s
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What's the role of the data scientist in 15 years?4m 30s
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What are you working on currently?3m 31s
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How can we make data secure?3m 26s
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How to serve the people with data science?1m 47s
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What's the difference between wisdom and experience?1m 54s
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How do you advocate for science?2m 3s
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What is the role of AI in today's world?2m 54s
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What's an example of ethical hacking?2m 9s
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How do you bring data science into the workplace?2m 29s
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What is the role of AI in human resources and recruiting?3m 3s
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What are tools every data scientist should own?2m 44s
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Is there a data science code of ethics?4m 6s
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What are AI threats in the cybersecurity world?4m 38s
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How can data scientists better inform the general public?1m 30s
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How can people participate in data science?2m 31s
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Why do people fear a machine revolution?2m 18s
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How can data inform healthcare?1m 31s
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Why should we democratize data?2m 14s
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How are you advocating for science?3m 9s
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Why is the march for science important?3m 42s
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What is AI?1m 37s
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What is an example of robust machine learning?4m 31s
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What is AI's place in healthcare?3m 29s
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How can AI impact clinical trials?3m 22s
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How can a data scientist be best leveraged for business?1m 28s
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What does a data science team need to thrive?2m 56s
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What are the pros and cons with AI in HR roles?3m 27s
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What should be in a data scientist's toolbox?3m 23s
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What makes up a good data science team?2m 3s
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What new projects are you working on?2m 51s
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What data science projects are you working on?1m 40s
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How can AI and machine learning (ML) help cybersecurity?3m 54s
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How can governments fight back against AI attacks?3m 5s
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What can the public do to protect against AI attacks?1m 14s
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What are neural networks (NN)?2m 8s
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What's the difference between ML and NN?1m 42s
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Do you have a favorite machine learning technique?1m 7s
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How does the Internet of Things work?1m 38s
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What is a connected city?3m 3s
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What is the fear associated with data?2m 30s
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How can we address the fear of machines taking jobs?3m 20s
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What about job loss due to AI?1m 43s
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What's the reality of bringing back jobs?1m 50s
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What is a scientific process for data science?2m 46s
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What is your tip for not getting overwhelmed by big data?1m 40s
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How do you accept that you're not going to know stuff?2m 38s
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What is a dynamic range?2m 1s
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When does data leave holes?3m 8s
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How important is diversity on a data science team?2m 13s
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How does data influence people's emotions?4m 15s
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How do you train yourself to be intellectually curious?2m 20s
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How do we empower people to foster dialogue?3m 33s
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What is your philosophy on leadership?2m 56s
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How can a company retain employees?3m 42s
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How do you cultivate employee development?3m 18s
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How do you identify algorithmic biases?2m 46s
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Can you describe the process of ethical testing?2m 46s
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How do you feel about machine learning for business decisions?1m 52s
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Can you talk about your book?4m 10s
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What are possible solutions for displacement?2m 23s
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What impact does technology have on the US economy?3m 2s
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Can you discuss the future of intelligent things?3m 26s
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What are the current issues with data collection?2m 10s
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How is technology changing human expectations?1m 7s
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Wrapping up1m 5s
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