Data Ethics¶

Acknowledgement: Dr Rachel Thomas¶

Introduction to data ethics¶

Getting started with some examples¶

Bugs and recourse: Buggy algorithm used for healthcare benefits¶

Feedback loops: YouTube's recommendation system¶

Bias: Professor Lantanya Sweeney "arrested"¶

So what?¶

Integrating machine learning with product design¶

Topics in Data Ethics¶

Errors and recourse¶

Feedback loops¶

Bias¶

Historical bias¶

Measurement bias¶

Aggregation Bias¶

Representation Bias¶

Addressing different types of bias¶

Humans are biased, so does algorithmic bias matter?¶

Data contains errors¶

Disinformation¶

What to do¶

Analyze a project you are working on¶

Processes to implement¶

Ethical Lenses¶

Fairness, accountability, and transparency¶

Role of Policy¶

The power of diversity¶

Conclusion¶

Questionnaire¶

Further research:¶

Section 1: that's a wrap!¶