Lynda Data Ethics Making Data Driven Decisions-APoLLo

  RELEASE  Lynda.Data.Ethics.Making.Data.Driven.Decisions-APoLLo
      URL  https://www.lynda.com/Business-tutorials/Data-Ethics-Making-Data-Driven-Decisions/2280170-2.html
   SOURCE  Lynda
  UPDATED  
     DATE  5/15/2020
 ex.FiLES  No
                GROUP  NOTES  
                                             xS2k19

25M	01 Introduction
25M	01 Introduction/001 Ethical decision-making.mp4
407M	02 Thinking About Ethics
60M	02 Thinking About Ethics/001 Being a moral company.mp4
66M	02 Thinking About Ethics/002 How to approach company.mp4
81M	02 Thinking About Ethics/003 Start with ethical objectivism.mp4
66M	02 Thinking About Ethics/004 Think about your categorical imperatives.mp4
72M	02 Thinking About Ethics/005 What would a virtuous person do_.mp4
65M	02 Thinking About Ethics/006 The seven major data ethics challenges.mp4
464M	03 Decision Traceability
66M	03 Decision Traceability/001 The right to algorithmic.mp4
68M	03 Decision Traceability/002 Data accessibility and comprehensibility.mp4
68M	03 Decision Traceability/003 Can anyone access their data_.mp4
69M	03 Decision Traceability/004 Trace your black box decisions.mp4
67M	03 Decision Traceability/005 Open the box with Explainable AI (XAI).mp4
66M	03 Decision Traceability/006 Self-driving cars trolley problem.mp4
64M	03 Decision Traceability/007 Decide how to crash a self-driving car.mp4
338M	04 Objectivity
73M	04 Objectivity/001 What does data objectivity mean_.mp4
66M	04 Objectivity/002 Ways to think about bias.mp4
65M	04 Objectivity/003 How to fix data bias.mp4
68M	04 Objectivity/004 Can data be objective_.mp4
68M	04 Objectivity/005 What is fairness_.mp4
26M	05 Conclusion
26M	05 Conclusion/001 Next steps.mp4
1.3G	total