Do you know of resources that we should add? Email us and suggest your favorites.
Here are some of our favorite podcasts.
Journalists to Follow
Here are some of our favorite journalists reporting on tech ethics.
Books to Read
Below you’ll find a list of variety of books that discuss everything from the impact of technology on society, to the history of humanity (to know where we’re going it’s important to know where we’ve been), and a philosophical discussion of ethics.
The Age of Surveillance Capitalism — Shoshana Zuboff
Technology and the Virtues — Shannon Vallor
Weapons of Math Destruction — Cathy O’Neil
Algorithms of Oppression — Safiya Umoja Noble
Technically Wrong — Sara Wachter-Boettcher
The Rise of Big Data Policing — Andrew Guthrie Ferguson
Sapiens: A Brief History of Humankind — Yuval Noah Harai
Keeping Track — Natasha Down Schüll (Under contract and coming soon)
Prediction Machines — Ajay Agrawal, Joshua Gans, and Avi Goldfarb
Automating Inequality — Virginia Eubanks
Team Human — Douglas Rushkoff
Future Ethics — Cennydd Bowles
Netflix released a fantastic film on how Cambridge Analytica used Facebook data to influence the 2016 U.S. presidential election, Brexit, as well as several other elections across the world. This film explains how our data can be used against us and we can be psychologically manipulated in a way that threatens democracies. If you host a screening, you can find a great discussion guide created by the Center for Humane Technology.
Presentations & Webinars
Here are some videos that provide a strong introduction to tech ethics and moral philosophy.
Data Science Ethics — University of Michigan via Coursera
Ethics and Law in Data and Analytics — Microsoft via edX
Digital Security and Human Rights — Amnesty International via edX
Human Rights: The Right to Freedom of Expression — Amnesty International via edX
Responsible Innovation — Delft University of Technology via edX
Ethical Social Media — The University of Sydney via Coursera
Global Impact: Business Ethics — University of Illinois at Urbana-Champaign via Coursera
Design Machine Learning (course material but not available for online credit) — Stanford d.School
Berkman Klein Center For Internet & Society — Harvard University
Markkula Center for Applied Ethics — Santa Clara University
Tech and Society Solutions Lab — Omidyar Network
Centre for the Fourth Industrial Revolution — World Economic Forum
A practical guide to Responsible Artificial Intelligence — PwC, June 2019
Everyday Ethics for Artificial Intelligence — IBM, 2019
Informed Consent and Data in Motion — Accenture
Ethically Aligned Design — IEEE
Ethics and Data Science Report — O’Reilly
Additional Papers and Articles — compiled by Kathy Baxter, Salesforce
Implement & Operationalize Ethics
If you’re trying to start integrating ethical AI practices into your work or at your company, you’ll find these articles by Kathy Baxter, Architect of Ethical AI Practice at Salesforce, to be extremely helpful.
Toolkits & Checklists
Here are some of the most common toolkits used by companies to help them think through ethical questions.
Ethical OS Toolkit — Omidyar Network: Tech and Society Solutions Lab
Algorithmic Accountability Policy Toolkit— AI Now Institute
Ethics in Tech Practice: A Toolkit — Markkula Center for Applied Ethics, Santa Clara University
Bias and Fairness Audit Toolkit — Center for Data Science and Public Policy, University of Chicago
Data Project Checklist — O’Reilly
Some companies are speaking up about what type of industry regulation there should be and making recommendations to government officials.
One of the toughest data privacy laws was passed in California and will go into effect starting on January 1, 2020 and is likely to have an impact far beyond the borders of California. Additionally, a couple members of Congress have been busy crafting legislation to impose some regulations on tech companies. Sometimes this legislation takes years before it is passed. Here is the pending legislation.