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Investigating Girls' Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop

Project Overview

The document examines the integration of generative AI in education, particularly through a workshop aimed at middle school girls to enhance their understanding of AI and its ethical implications. It emphasizes the necessity of AI education for underserved populations, fostering critical thinking about the benefits and drawbacks of AI technologies. The workshop effectively raised awareness among participants regarding AI's capabilities and ethical concerns, specifically highlighting issues of fairness and bias. Findings indicate that while the initiative successfully improved participants' knowledge and engagement with AI, it also revealed ongoing challenges in addressing algorithmic bias and ethical considerations within AI applications. Overall, the study underscores the importance of equitable access to AI education and the need for ongoing dialogue about its ethical ramifications in fostering informed future users and developers of AI.

Key Applications

Lightweight workshop for middle school girls focusing on AI and ethics

Context: Educational workshop for middle school girls, particularly those from underserved backgrounds

Implementation: Conducted a lightweight workshop lasting less than 3 hours, integrating discussions, group activities, and critical reflections on AI technologies and their societal impacts.

Outcomes: Increased awareness of AI concepts, improved understanding of ethical considerations, and described nuanced ideas about the impact of AI.

Challenges: Limited prior knowledge among participants, difficulty in conceptualizing future AI technologies and associated biases.

Implementation Barriers

Access and Inclusivity

Middle school girls, particularly from underserved backgrounds, face challenges in accessing tech education and resources. Participants had varying levels of understanding of AI and ethical implications, which made discussions challenging.

Proposed Solutions: Implement lightweight, inclusive workshops focusing on critical thinking and ethical considerations in AI. Include foundational lessons on AI concepts and ethical issues tailored to their existing knowledge.

Project Team

Jaemarie Solyst

Researcher

Alexis Axon

Researcher

Angela E. B. Stewart

Researcher

Motahhare Eslami

Researcher

Amy Ogan

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Jaemarie Solyst, Alexis Axon, Angela E. B. Stewart, Motahhare Eslami, Amy Ogan

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

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