Assessing Computer Science Student Attitudes Towards AI Ethics and Policy
Project Overview
The document examines the role of generative AI in education, particularly among computer science students, emphasizing their attitudes, competencies, and the implications of AI ethics and policy. It reveals that students are increasingly adopting AI tools, viewing them positively for their potential benefits, yet expressing concerns regarding ethical issues and the absence of sufficient regulation. The findings indicate a significant gap in the current educational framework, advocating for the integration of AI ethics and policy discussions into the computer science curriculum to equip students with the necessary understanding to navigate future challenges in the evolving landscape of AI. This approach aims to foster not only technical skills but also a critical awareness of the ethical dimensions of AI, ensuring that future professionals are prepared to address the complexities associated with AI technologies in their careers.
Key Applications
Use of AI tools for coursework and ethical discussions
Context: Undergraduate and graduate computer science students at a large public university using AI tools like ChatGPT and Microsoft CoPilot for assignments and workflows, alongside dedicated discussions on AI ethics integrated into various courses.
Implementation: Students were encouraged to use AI tools in coursework and daily tasks, with discussions about ethical implications and policies surrounding AI incorporated into the curriculum through dedicated courses and integrated discussions.
Outcomes: Increased productivity, enhanced brainstorming, improved academic writing, and heightened awareness of ethical issues related to AI. Students reported positive experiences using AI tools while also expressing some mixed opinions on the effectiveness of ethics discussions.
Challenges: Concerns about over-reliance on AI, academic integrity, lack of comprehensive integration of AI ethics across the curriculum, varying levels of student engagement, and a general disillusionment with the political process regarding AI policy.
Assessment of student attitudes towards AI policy and regulation careers
Context: Survey among computer science students regarding their interest in AI policy careers.
Implementation: Surveys and interviews conducted to assess student knowledge, attitudes, and interest in pursuing careers related to AI policy and regulation.
Outcomes: Around 30-40% of students expressed openness to AI policy careers and recognized the need for regulation, though overall interest in these careers was low.
Challenges: Low interest in pursuing careers in AI policy and a general disillusionment with the political process.
Implementation Barriers
Curriculum Integration
Insufficient coverage of AI ethics, policy, and regulatory knowledge in the computer science curriculum, leading to varying levels of student awareness and interest.
Proposed Solutions: Increased emphasis on integrating ethical discussions, policy considerations, and AI regulatory efforts into technical courses, alongside enhancing curriculum with real-world applications to foster student interest.
Project Team
James Weichert
Researcher
Dayoung Kim
Researcher
Qin Zhu
Researcher
Junghwan Kim
Researcher
Hoda Eldardiry
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: James Weichert, Dayoung Kim, Qin Zhu, Junghwan Kim, Hoda Eldardiry
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai