Home \ All \ Ethical Dimensions of Data Science

Ethical Dimensions of Data Science

Raja Iqbal December 15, 2017 11:53 pm

From distorting experiments with systemic bias to imposing human ethics on machine learning models, data scientists have far more to worry about than the raw numbers in their spreadsheet. Join Raja Iqbal on an exploration of data science’s past ethical evils and how we can pave the way to a brighter future.

More Data Science Material:
[Video] Artificial Intelligence for Social Good
[Video] Machine Learning – Building Robust Models
[Blog] Big Data Ethics and 10 Controversial Data Science Experiments

(292)

Category: All, Community Talks, Machine Learning

Tags: Ethics, Machine Learning

About The Author

Raja Iqbal - Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on all things data science. He is the Founder and Chief Data Scientist at Data Science Dojo. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale. Raja has a Ph.D in Computer Science from Tulane University with a focus on machine learning and data mining.