Applied Data Ethics Course

Intersection of Technology and Social Justice

As a Designer, Senior Web Developer & SEO Specialist, I find it crucial to stay up-to-date on the latest developments in data ethics. Completing the University of San Francisco Data Institute’s course on Applied Data Ethics is part of my journey.

While none of this information is new. The Applied Data Ethics course did reinforce my awareness of the ethical considerations in data-focused work. The curriculum and lectures showcased (again) how ethical principles plays out in real-world scenarios.

The Applied Data Ethics course overlaps with several recent books that I have reviewed, including “Design Justice” by Sasha Costanza-Chock, “Automating Inequality” by Virginia Eubanks and “Race after Technology” by Ruha Benjamin. These books discuss the ways in which technology can perpetuate and exacerbate systemic inequalities. The Applied Data Ethics course similarly emphasizes the need for ethical considerations in technology and data-related work. While exploring the principles of community-led design and its potential to create a more just and equitable society.

The course covered a broad range of topics (I am working on blogs for each topic).

  • Disinformation
  • Bias & Fairness
  • Ethical Foundations
  • Practical Tools
  • Privacy & Surveillance
  • The Silicon Valley ecosystem
  • Algorithmic Colonialism

The Applied Data Ethics course also aligns with the Center for Humane Technology Certification, which encourages ethical design practices and promotes technology that benefits humanity.

The A.I. Dilemma – March 9, 2023 (Part 1)
A.I. Town Hall – June 9, 2023 (Part 2)

Recommended Reading

Applied Data Ethics, is essential for all working in tech

University of San Francisco Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism.

Applied Data-Ethics Syllabus

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