We Are AI: Taking Control of Technology
Project Overview
The document outlines the 'We Are AI: Taking Control of Technology' course, which seeks to educate a diverse audience on Responsible AI (RAI) using a peer-learning approach. Targeting non-technical individuals, particularly librarians, the course aims to demystify AI concepts and foster societal engagement in discussions about artificial intelligence. It emphasizes the iterative development of course materials, including a multilingual comic book series designed to enhance accessibility and understanding. Findings indicate that participants experience significant improvements in their comprehension of AI and its broader societal implications, illustrating the effectiveness of this educational initiative in promoting responsible AI practices and encouraging informed dialogue about technology's role in society. Overall, the document highlights the transformative potential of generative AI in educational contexts, emphasizing its ability to facilitate learning and empower individuals in navigating the complexities of AI technology.
Key Applications
We Are AI: Taking Control of Technology course
Context: Public education for diverse audiences, particularly librarians and non-technical stakeholders interested in AI.
Implementation: The course is implemented in a learning circle format, allowing participants to engage collaboratively without traditional instructors, facilitated by trained peers.
Outcomes: Participants reported significant improvements in understanding AI concepts and societal implications, expressing a greater sense of agency regarding AI.
Challenges: Limited reach to non-enrolled students, need for more accessible public education resources, and barriers to integrating diverse perspectives in AI discussions.
Implementation Barriers
Accessibility
The course's reach is limited to a small group of participants enrolled at specific institutions, making it less accessible to the general public.
Proposed Solutions: Develop more publicly available courses and resources to engage a broader audience.
Technical Expertise
Many existing courses are designed for technical audiences, leaving a gap for non-experts.
Proposed Solutions: Create courses specifically aimed at non-technical audiences and emphasize accessible content.
Engagement
Participants expressed concerns about the rapid pace of technological advancement and the lack of regulation.
Proposed Solutions: Include modules addressing these concerns and promote discussions on regulation and ethical use of AI.
Project Team
Julia Stoyanovich
Researcher
Armanda Lewis
Researcher
Eric Corbett
Researcher
Lucius E. J. Bynum
Researcher
Lucas Rosenblatt
Researcher
Falaah Arif Khan
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius E. J. Bynum, Lucas Rosenblatt, Falaah Arif Khan
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