The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy
- URL: http://arxiv.org/abs/2506.15639v1
- Date: Wed, 18 Jun 2025 17:09:58 GMT
- Title: The AI Policy Module: Developing Computer Science Student Competency in AI Ethics and Policy
- Authors: James Weichert, Daniel Dunlap, Mohammed Farghally, Hoda Eldardiry,
- Abstract summary: The prevailing post-secondary computing curriculum is ill-equipped to prepare future AI practitioners.<n>We develop an AI Policy Module to introduce discussions of AI policy into the computer science curriculum.<n>We present the findings from our pilot of the AI Policy Module 2.0, evaluating student attitudes towards AI ethics and policy.
- Score: 1.724936122482754
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: As artificial intelligence (AI) further embeds itself into many settings across personal and professional contexts, increasing attention must be paid not only to AI ethics, but also to the governance and regulation of AI technologies through AI policy. However, the prevailing post-secondary computing curriculum is currently ill-equipped to prepare future AI practitioners to confront increasing demands to implement abstract ethical principles and normative policy preferences into the design and development of AI systems. We believe that familiarity with the 'AI policy landscape' and the ability to translate ethical principles to practices will in the future constitute an important responsibility for even the most technically-focused AI engineers. Toward preparing current computer science (CS) students for these new expectations, we developed an AI Policy Module to introduce discussions of AI policy into the CS curriculum. Building on a successful pilot in fall 2024, in this innovative practice full paper we present an updated and expanded version of the module, including a technical assignment on "AI regulation". We present the findings from our pilot of the AI Policy Module 2.0, evaluating student attitudes towards AI ethics and policy through pre- and post-module surveys. Following the module, students reported increased concern about the ethical impacts of AI technologies while also expressing greater confidence in their abilities to engage in discussions about AI regulation. Finally, we highlight the AI Regulation Assignment as an effective and engaging tool for exploring the limits of AI alignment and emphasizing the role of 'policy' in addressing ethical challenges.
Related papers
- Assessing Computer Science Student Attitudes Towards AI Ethics and Policy [8.927858368749204]
The attitudes and competencies with respect to AI ethics and policy among post-secondary students studying computer science (CS) are of particular interest.<n>Despite computer scientists being at the forefront of learning about and using AI tools, their attitudes towards AI remain understudied.
arXiv Detail & Related papers (2025-04-06T23:03:47Z) - Educating a Responsible AI Workforce: Piloting a Curricular Module on AI Policy in a Graduate Machine Learning Course [2.117841684082203]
This paper describes a two-lecture 'AI policy module' that was piloted in a graduate-level introductory machine learning course in 2024.<n>We find that the module is successful in engaging otherwise technically-oriented students on the topic of AI policy.
arXiv Detail & Related papers (2025-02-11T20:16:56Z) - Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground [55.2480439325792]
I argue that efforts to promote responsible and ethical AI can inadvertently contribute to and seemingly legitimize this disregard for established contextual norms.<n>I question the current narrow prioritization in AI ethics of moral innovation over moral preservation.
arXiv Detail & Related papers (2024-12-06T15:36:13Z) - Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks [55.2480439325792]
This paper critically examines the European Union's Artificial Intelligence Act (EU AI Act)
Uses insights from Alignment Theory (AT) research, which focuses on the potential pitfalls of technical alignment in Artificial Intelligence.
As we apply these concepts to the EU AI Act, we uncover potential vulnerabilities and areas for improvement in the regulation.
arXiv Detail & Related papers (2024-10-10T17:38:38Z) - Visions of a Discipline: Analyzing Introductory AI Courses on YouTube [11.209406323898019]
We analyze the 20 most watched introductory AI courses on YouTube.
Introductory AI courses do not meaningfully engage with ethical or societal challenges of AI.
We recommend that introductory AI courses should highlight ethical challenges of AI to present a more balanced perspective.
arXiv Detail & Related papers (2024-05-31T01:48:42Z) - Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits [54.648819983899614]
General purpose AI seems to have lowered the barriers for the public to use AI and harness its power.
We introduce PARTICIP-AI, a framework for laypeople to speculate and assess AI use cases and their impacts.
arXiv Detail & Related papers (2024-03-21T19:12:37Z) - Responsible Artificial Intelligence: A Structured Literature Review [0.0]
The EU has recently issued several publications emphasizing the necessity of trust in AI.
This highlights the urgent need for international regulation.
This paper introduces a comprehensive and, to our knowledge, the first unified definition of responsible AI.
arXiv Detail & Related papers (2024-03-11T17:01:13Z) - Aligning Artificial Intelligence with Humans through Public Policy [0.0]
This essay outlines research on AI that learn structures in policy data that can be leveraged for downstream tasks.
We believe this represents the "comprehension" phase of AI and policy, but leveraging policy as a key source of human values to align AI requires "understanding" policy.
arXiv Detail & Related papers (2022-06-25T21:31:14Z) - Fairness in Agreement With European Values: An Interdisciplinary
Perspective on AI Regulation [61.77881142275982]
This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them.
We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives.
We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
arXiv Detail & Related papers (2022-06-08T12:32:08Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.