From the course: DJ Patil: Ask Me Anything
How do you identify algorithmic biases?
From the course: DJ Patil: Ask Me Anything
How do you identify algorithmic biases?
(upbeat music) - How do we identify if these algorithms contain bias? You know, you're supposed to be using a computer program because it's objective. But in reality, it's written by humans. So, how do we deal with that? - This first tenet that I think about is, what does it mean to do data science responsibly? How do you do it with intent? How do you do things with purpose? The beginning of that is just because we can, doesn't mean we should with data. Should we try to figure out advertisements for women who are pregnant? Well in some cases, maybe yes, some cases no. Context matters. But also, how you actually implement this. Also matters. Do we have oversight? Do we have the people who might be impacted by using this data? What happens with them? These are our questions that aren't of only data scientists. These are questions that are far broader. And we have to think about the entire set of implications that are out there. And there's no solid, easy answer here. There's just progress that has to be made across all these fronts of asking, are we okay with this? How do we get external input? All those other pieces have to come together to actually ask, are we comfortable with this? Would the people who're impacted be comfortable with this? And what are the unknown unknowns, the implications that are out there, that we can't see coming. In some cases, the data that's even going in here is terrible. Could be terrible because it's biased. Number two, is we also have to remember in many cases, there are opportunities where the algorithms could do sufficiently better than humans. Because humans are biased also. And then in cases where algorithms can actually take out the bias. There are bail calculators that basically try to assess your risk for bail. There is a set of them that are out there, they're racist. There's also a set of them that actually help flag when there's disparity that is there because of the judge may have a bias already. Saying like, this is an outlier. Maybe we should look at this. And those bail systems actually use data in a very careful way, and are good. The key part there is that you're not handing entire control over to the algorithm. You're using the data and everything to augment somebody, and the algorithm in a way that helps improve their decision-making capability. (upbeat music)
Contents
-
-
-
What were you like as a kid?3m 17s
-
How did your parents influence you?1m 55s
-
How did you navigate college?4m 7s
-
What are some fond memories from grad school?2m 45s
-
How can we foster learning for everyone?5m 9s
-
What's the importance of learning liberal arts?2m 30s
-
What advice do you have for job seekers?3m 23s
-
How did data science come about?4m 8s
-
What does it take to be a data scientist?4m 1s
-
Why is apprenticeship important?3m 41s
-
How can a data scientist influence policy?2m 20s
-
How can I prepare for data science in college?4m 56s
-
How can hackathons benefit me?1m 30s
-
How did you use data in grad school?2m 15s
-
How is data used in the US?3m 55s
-
How is data used worldwide?1m 38s
-
How do you expose holes in cybersecurity?3m 32s
-
How can we educate people about hacking?2m 30s
-
What are the real threats to personal data?4m 6s
-
Should we focus on media headlines?1m 39s
-
How can we educate people about data use?3m 34s
-
How can people fight for data privacy?2m 46s
-
What's the role of the data scientist in 15 years?4m 30s
-
What are you working on currently?3m 31s
-
How can we make data secure?3m 26s
-
How to serve the people with data science?1m 47s
-
What's the difference between wisdom and experience?1m 54s
-
How do you advocate for science?2m 3s
-
What is the role of AI in today's world?2m 54s
-
What's an example of ethical hacking?2m 9s
-
How do you bring data science into the workplace?2m 29s
-
What is the role of AI in human resources and recruiting?3m 3s
-
What are tools every data scientist should own?2m 44s
-
Is there a data science code of ethics?4m 6s
-
What are AI threats in the cybersecurity world?4m 38s
-
How can data scientists better inform the general public?1m 30s
-
How can people participate in data science?2m 31s
-
Why do people fear a machine revolution?2m 18s
-
How can data inform healthcare?1m 31s
-
Why should we democratize data?2m 14s
-
How are you advocating for science?3m 9s
-
Why is the march for science important?3m 42s
-
What is AI?1m 37s
-
What is an example of robust machine learning?4m 31s
-
What is AI's place in healthcare?3m 29s
-
How can AI impact clinical trials?3m 22s
-
How can a data scientist be best leveraged for business?1m 28s
-
What does a data science team need to thrive?2m 56s
-
What are the pros and cons with AI in HR roles?3m 27s
-
What should be in a data scientist's toolbox?3m 23s
-
What makes up a good data science team?2m 3s
-
What new projects are you working on?2m 51s
-
What data science projects are you working on?1m 40s
-
How can AI and machine learning (ML) help cybersecurity?3m 54s
-
How can governments fight back against AI attacks?3m 5s
-
What can the public do to protect against AI attacks?1m 14s
-
What are neural networks (NN)?2m 8s
-
What's the difference between ML and NN?1m 42s
-
Do you have a favorite machine learning technique?1m 7s
-
How does the Internet of Things work?1m 38s
-
What is a connected city?3m 3s
-
What is the fear associated with data?2m 30s
-
How can we address the fear of machines taking jobs?3m 20s
-
What about job loss due to AI?1m 43s
-
What's the reality of bringing back jobs?1m 50s
-
What is a scientific process for data science?2m 46s
-
What is your tip for not getting overwhelmed by big data?1m 40s
-
How do you accept that you're not going to know stuff?2m 38s
-
What is a dynamic range?2m 1s
-
When does data leave holes?3m 8s
-
How important is diversity on a data science team?2m 13s
-
How does data influence people's emotions?4m 15s
-
How do you train yourself to be intellectually curious?2m 20s
-
How do we empower people to foster dialogue?3m 33s
-
What is your philosophy on leadership?2m 56s
-
How can a company retain employees?3m 42s
-
How do you cultivate employee development?3m 18s
-
How do you identify algorithmic biases?2m 46s
-
Can you describe the process of ethical testing?2m 46s
-
How do you feel about machine learning for business decisions?1m 52s
-
Can you talk about your book?4m 10s
-
What are possible solutions for displacement?2m 23s
-
What impact does technology have on the US economy?3m 2s
-
Can you discuss the future of intelligent things?3m 26s
-
What are the current issues with data collection?2m 10s
-
How is technology changing human expectations?1m 7s
-
Wrapping up1m 5s
-