The Good, The Bad, and The Creepy: Why Data Scientists Need to Understand Ethics
Few data science programs and even fewer analytics programs require courses in ethics. This has downstream consequences for businesses and for society. Although universities do a (fairly) good job at teaching students what they CAN do with data, they are less adept at teaching students what they SHOULD (or SHOULD NOT) do with data. This talk goes through three case studies that explain the unintended consequences of data science in application without ethical guide rails. The presenter discusses the obligations that universities have related to teaching ethical data science.
Presenter:
Jennifer Priestley
Associate Dean, Kennesaw State University
Presentation Outline
00:00 – Introduction
04:00 – How we got to this Point – Data Science: (United States)
06:12 – How the Data Ecosystem is Evolving…
08:46 – Why Data Scientists Need to Understand Ethics – Issue 1: A few people can cause a great deal of harm
12:57 – Why Data Scientists Need to Understand Ethics – Issue 2: Lack of consent
22:10 – Why Data Scientists Need to Understand Ethics – Issue 3: Will the algorithm do what I think it does?
36:35 – Maslow’s Hierarchy of Data Science
39:52 – Where do we go next… what is the role of academia?
41:26 – Questions and Answers
For additional content from SAS Global Forum 2019, visit https://www.sas.com/en_us/events/sas-global-forum/virtual.html
Learn More about SAS Software
3 essential steps for AI ethics - https://www.sas.com/en_us/insights/articles/analytics/artificial-intelligence-ethics.html
Training Path: Advanced Analytics - Data Scientist - http://support.sas.com/training/us/paths/ds.html
SAS® Global Certification Program - https://www.sas.com/en_us/certification/credentials/advanced-analytics/data-scientist.html
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Видео The Good, The Bad, and The Creepy: Why Data Scientists Need to Understand Ethics канала SAS Users
Presenter:
Jennifer Priestley
Associate Dean, Kennesaw State University
Presentation Outline
00:00 – Introduction
04:00 – How we got to this Point – Data Science: (United States)
06:12 – How the Data Ecosystem is Evolving…
08:46 – Why Data Scientists Need to Understand Ethics – Issue 1: A few people can cause a great deal of harm
12:57 – Why Data Scientists Need to Understand Ethics – Issue 2: Lack of consent
22:10 – Why Data Scientists Need to Understand Ethics – Issue 3: Will the algorithm do what I think it does?
36:35 – Maslow’s Hierarchy of Data Science
39:52 – Where do we go next… what is the role of academia?
41:26 – Questions and Answers
For additional content from SAS Global Forum 2019, visit https://www.sas.com/en_us/events/sas-global-forum/virtual.html
Learn More about SAS Software
3 essential steps for AI ethics - https://www.sas.com/en_us/insights/articles/analytics/artificial-intelligence-ethics.html
Training Path: Advanced Analytics - Data Scientist - http://support.sas.com/training/us/paths/ds.html
SAS® Global Certification Program - https://www.sas.com/en_us/certification/credentials/advanced-analytics/data-scientist.html
SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS
https://www.youtube.com/channel/UCWOfmTlbeesYiDJNflqsWQA?sub_confirmation=1
ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
CONNECT WITH SAS
SAS ► http://www.sas.com
SAS Customer Support ► http://support.sas.com
SAS Communities ► http://communities.sas.com
Facebook ► https://www.facebook.com/SASsoftware
Twitter ► https://www.twitter.com/SASsoftware
LinkedIn ► http://www.linkedin.com/company/sas
Blogs ► http://blogs.sas.com
RSS ►http://www.sas.com/rss
Видео The Good, The Bad, and The Creepy: Why Data Scientists Need to Understand Ethics канала SAS Users
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