From the course: DJ Patil: Ask Me Anything
What are AI threats in the cybersecurity world?
From the course: DJ Patil: Ask Me Anything
What are AI threats in the cybersecurity world?
(upbeat music) - In data, we have to start asking how do we educate people about ramifications of their data, but also opportunities where data could beneficially help people. There's a lot of times where if people did supply more data, you could actually provide better services for them. How do we do that? How do we start talking about those things? There's a whole rich area in here of questions about, say like what data you give up when you fill out a form, when you click a button on an app, when there's data that's collected about you that you had no idea because you have a loyalty card or something that you swipe every time you pick up a new medication or buy a grocery. We have to help people see that world. But also, a lot of that responsibility sits on the technologist to help really take care of the customers and the public. What does it start to look like when we talk about the what does a number mean, what does data look like? I've concretely put that around the question of vaccinations. We have this thing where we know vaccinations save a tremendous amount of lives. It's well proven, yet people question it. People don't want to have their kids get vaccinated. Yet, if you don't, you're really fundamentally putting your child's life at risk. We've just gotten comfortable, we've gotten complacent. We're also ignoring the issues and the data around the potential of a pandemic. The reason I bring it up this way, it may seem sort of off topic, but it's actually tethered together because there's your individual data and there's society data. Society's data is also critically dependent on making population health work, whether it's for just better wellness, addressing obesity, diabetes, or all the way into the extreme of a pandemic. And then there's your individual data of how do you make sure that you are protected, your family's protected? Let me give you a direct litmus test. In genomic testing, if you give up your data by a genetic test, your spouse gives up their data, enough of your family gives out data, you've effectively given up your children's data. Mathematically, that's just the way the probabilities work. What if your child says I don't want to be in that dataset? Now, there's the other side that by combining enough of these datasets with that genomic information might save their life because they're going to have a tailored medical treatment that is derived from their genetic results. How do we balance that? That's a conversation that needs to be had today. Another version right now is around the genetic test around what are BRCA1 and 2 which are the genetic tests for breast cancer. What do you do when you have those tests? Do you take a radical approach to having a double mastectomy or other aggressive treatment? What's the right cause? Let me put that in the lens of how much medical treatment policy has changed so radically in the last several years. We've completely changed the route of prostate exams. We've completely changed estrogen therapy and mammogram recommendations. Because we've gotten smarter through the data. But what are the implications of all this? There's no simple solutions here. There's only an approach that's going to work, is where we collectively stay on top of this issue and constantly are asking what is right by everybody, and how do we make those decisions? This gets back to, in many ways, the only way to do this is with a fundamental, very good training in the humanities and liberal arts because these are ethical questions. In the classic Kant framework of, does the needs of an individual outweigh the needs of the total population, the all? These are questions that we have to get to and can't be solved by technology alone. They have to be a question of how do we view society and what's this world we want to live in? (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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