Integrated Ethics Resources | Integrated Ethics Labs

Other websites

Reference

The Stanford Encylopedia of Philosophy is a good, peer-reviewed and actively updated resource for many areas of philosophy, including ethics.
Ethical Guidelines for Statistical Practice is a guide on ethics prepared by the American Statistical Association.

Organizations

Montreal AI Ethics Institute
the Algorithmic Justice League and the related film CODED BIAS: A DOCUMENTARY

Podcasts and Blogs

Data Science Ethics podcast
Philosophy of Data Science section of the Data and Science with Glen Wright Colopy website.
The Teach Data Science blog has some items related to ethics. See, for example, the posts on social justice and data feminism.

Other Educational Materials

Ethical CS – activities for a CS 1 course by Evan Peck (Bucknell)
Ethics in Tech Practice In 2019, Santa Clara University was one of the winners of the Mozilla Responsible Computer Science Challenge. This site contains information and examples of appling ethics into tech courses.

Have you written or found something for teaching ethics in Computer Science, Data Science, Statistics or Engineering? Let us know, so we can add it to this list.

References

Here is an additional list of references, including all the references used in our labs. These are also availble as two BibTex files: ie-references.bib and ie-books.bib.

Association, American Statistical. 2018. “Ethical Guidelines for Statistical Practice.” https://www.amstat.org/ASA/Your-Career/Ethical-Guidelines-for-Statistical-Practice.aspx.

Baase, Sara. 2012. A Gift of Fire. Pearson Education Limited.

Benjamin, Ruha. 2019a. Race After Technology: Abolitionist Tools for the New Jim Code. Polity.

———. 2019b. “Race After Technology: Abolitionist Tools for the New Jim Code.” Social Forces 98 (4): 1–3. https://doi.org/10.1093/sf/soz162.

Browne-Anderson, Hugo. 2018. “What Data Scientists Really Do, According to 35 Data Scientists.” Harvard Business Review. https://hbr.org/2018/08/what-data-scientists-really-do-according-to-35-data-scientists.

Brox, J. 2014. “6 Questions to Ask Yourself When Confronted with Ethical Issues.” Refresh Leadership Blog. http://www.refreshleadership.com/index.php/2014/01/6-questions-confronted-ethical-issues/.

Brynjolfsson, Erik, and Andrew McAfee. 2014. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. 1st ed. W. W. Norton & Company.

“Calculating Consequences: The Utilitarian Approach.” 2014. Markkula Center for Applied Ethics. https://www.scu.edu/ethics/ethics-resources/ethical-decision-making/calculating-consequences-the-utilitarian-approach/.

Carr, Nicholas. 2010. The Shallows: What the Internet Is Doing to Our Brains. W. W. Norton & Company.

Carter, Lori, and Catherine Crockett. 2019. “An Ethics Curriculum for CS with Flexibility and Continuity.” In IEEE Frontiers in Education Conference (FIE), 1–9. https://doi.org/10.1109/FIE43999.2019.9028356.

Computing Machinery, Association for. 2018. “Code of Ethics.” https://www.acm.org/code-of-ethics.

DeYoung, Rebecca Konyndyk. 2020. Glittering Vices: A New Look at the Seven Deadly Sins and Their Remedies. Brazos Press.

Dickerson, M. T., and C. Taliaferro. 2016. The Mind and the Machine: What It Means to Be Human and Why It Matters. Wipf; Stock Publishers. https://books.google.com/books?id=Wj\_kDAAAQBAJ.

Dormehl, Luke. 2017. Thinking Machines: The Quest for Artificial Intelligence–and Where It’s Taking Us Next. TarcherPerigee.

Ellenberg, Jonas H. 1983. “Ethical Guidelines for Statistical Practice: A Historical Perspective.” The American Statistician 37 (1): 1–4.

“Ethics and Statistics.” n.d. Penn State. https://online.stat.psu.edu/statprogram/book/export/html/580.

Eubanks, Virginia. 2018. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. New York, NY, USA: St. Martin’s Press, Inc.

Floridi, Luciano. 2019. “Establishing the Rules for Building Trustworthy AI.” Nature Machine Intelligence 1 (6): 261–62. https://ai.bsa.org/wp-content/uploads/2019/09/AIHLEG\_EthicsGuidelinesforTrustworthyAI-ENpdf.pdf.

Fry, Hannah. 2018. Hello World: Being Human in the Age of Algorithms. 1st ed. W. W. Norton & Company.

Hurwitz, Shelley, and John S Gardenier. 2012. “Ethical Guidelines for Statistical Practice: The First 60 Years and Beyond.” The American Statistician 66 (2): 99–103.

Jardine, M. 2004. The Making and Unmaking of Technological Society: How Christianity Can Save Modernity from Itself. Christian Practice of Everyday Life. Brazos Press. https://books.google.com/books?id=AFfuAAAAMAAJ.

Kaplan, Michael, Andreas; Haenlein. 2019. “Siri, Siri, in My Hand: Who’s the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence.” Business Horizons 62 (1): 15–25.

Lanier, J. 2010. You Are Not a Gadget. Knopf Doubleday Publishing Group. https://books.google.com/books?id=H76XlWv\_FqQC.

———. 2013. Who Owns the Future? Simon & Schuster. https://books.google.com/books?id=rORuxPh\_IG4C.

Lee, Nicol Turner, Paul Resnick, and Genie Barton. 2019. “Algorithmic Bias Detection and Mitigation: Best Practices and Policies to Reduce Consumer Harms.” https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/.

“Making Ethical Decisions: Things to Ask Yourself.” 2014. Josephson Institute of Ethics. https://blink.ucsd.edu/finance/accountability/ethics/ask.html.

Mayer-Schönberger, V., and K. Cukier. 2013. Big Data: A Revolution That Will Transform How We Live, Work, and Think. An Eamon Dolan Book. Houghton Mifflin Harcourt. https://books.google.com/books?id=uy4lh-WEhhIC.

McIlwain, C. D. 2019. Black Software: The Internet and Racial Justice, from the AfroNet to Black Lives Matter. Oxford University Press, Incorporated. https://books.google.com/books?id=DmmtDwAAQBAJ.

Noble, S. U. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press. https://books.google.com/books?id=-ThDDwAAQBAJ.

O’Neil, Cathy. 2016. “How Algorithms Rule Our Working Lives.” https://www.theguardian.com/science/2016/sep/01/how-algorithms-rule-our-working-lives.

Quinn, Michael J. 2014. Ethics for the Information Age. Pearson Boston, MA.

Rosling, H., O. Rosling, A. R. Rönnlund, and A. Goldberg. 2018. Factfulness. Lindhardt og Ringhof. https://books.google.com/books?id=rm1UDwAAQBAJ.

Schuurman, Derek C. 2013. Shaping a Digital World: Faith, Culture and Computer Technology. InterVarsity Academic.

Tegmark, M. 2017. Life 3.0: Being Human in the Age of Artificial Intelligence. Knopf Doubleday Publishing Group. https://books.google.com/books?id=2hIcDgAAQBAJ.

Vallor, S. 2016. Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting. Oxford University Press. https://books.google.com/books?id=NHPADAAAQBAJ.

Van den Broeck, Jan, Solveig Argeseanu Cunningham, Roger Eeckels, and Kobus Herbst. 2005. “Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities.” PLoS Med 2 (10): e267. https://doi.org/10.1371/journal.pmed.0020267.

Wu, T. 2017. The Attention Merchants: The Epic Scramble to Get Inside Our Heads. Vintage Books, a division of Penguin Random House LLC. https://books.google.com/books?id=mNkxDwAAQBAJ.

Yonck, R. 2017. Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence. Skyhorse Publishing. https://books.google.com/books?id=HquvDQAAQBAJ.

Zakaria, Rafia. 2021. Against White Feminism: Notes on Disruption. W. W. Norton.

Zuboff, S. 2019. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. PublicAffairs. https://books.google.com/books?id=lRqrDQAAQBAJ.