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Ethics, AI, and the Data Society

PUB AFF X 402

Examine ethical issues related to big data/analytics in governance and community development. Topics include balancing public good/privacy, preventing misuse, predictive policing, addressing AI’s role in systemic bias & ensuring equitable outcomes.

Duration
As few as 11 weeks
Units
4.0
Current Formats
Live Online
Cost
Starting at $3,000.00

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What you can learn.

Understand tensions between tech, policymakers and big data
Develop a framework for addressing ethical issues of big data
Learn to use legal resources in policy arguments

About This Course

The incredible pace of technological change during the past 25 years has presented enormous theoretical, practical and policy challenges for public policymakers, regulators and legal systems throughout the world. Technological disruption has forced these key stakeholders to grapple with rapidly changing conceptions of individual privacy, national security, intellectual property and copyright protection, cybersecurity, hacking and other technology-based criminal activity, and the nature and extent of government regulation.

 

This course will focus on cutting-edge issues in technology and public policy, regulation and the law. The course is for students with existing familiarity with basic technology-related issues. The coursework will build on that foundation and focus on the public policy, regulatory and legal aspects of 5G wireless technology (including smart cities and telemedicine), autonomous vehicles, drones, artificial intelligence, virtual reality, augmented reality, facial recognition, biometrics, Bitcoin, Blockchain and other cutting-edge, advanced technology platforms. We will examine the emerging public policy, regulatory and legal responses to these advanced technologies in the United States, the European Union and elsewhere.

 

The course will be divided into two parts: during the first half of the course we will discuss some of the key concepts involved in addressing advanced technology, such as regulation, privacy and intellectual property. During the second half of the course we will delve into several of the specific technologies themselves, to gain a deeper understand of the public policy, regulatory and legal issues they present.

Summer 2026 Schedule

Date
Details
Format
 
-
Tuesday 6:00PM - 9:00PM PT
Instructor:
REG#
409002
Fee:
$3,000.00
Live Onlineformat icon
Remote Classroom
Updating...
Notes
The goal for this course is to expose participants to the foundations of spatial data science. Our understanding of social phenomena through spatial constructs in urban data allows us to address location-based questions on social justice, the environment, transportation, community development and design, amongst many other themes, and how these factors may affect different population groups in different ways. Once a foundation of Python programming and data wrangling is achieved, spatial analysis through Python Libraries, and subsequently, through advanced geoprocessing will be introduced. All lessons will be based on real data addressing relevant and contemporary ubran problems.
Deadline
No refunds after June 16, 2026
Schedule
Type
Date
Time
Location
Lab
Tue Jun 23, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Jun 30, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Jul 7, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Jul 14, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Jul 21, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Jul 28, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Aug 4, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Aug 11, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Aug 18, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Aug 25, 2026
6:00PM PT - 9:00PM PT
Remote Classroom
Lab
Tue Sep 1, 2026
6:00PM PT - 9:00PM PT
Remote Classroom

This course applies toward the following programs

certificate Learn how to analyze, visualize and communicate data insights to internal and external stakeholders to assist in public policy decision-making.

Learn how to analyze, visualize and communicate data insights to internal and external stakeholders to assist in public policy decision-making.