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An Ethical and Equitable Vision of AI in Education: Learning across 28 Exploratory Projects

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Title: An Ethical and Equitable Vision of AI in Education: Learning across 28 Exploratory Projects
Language: English
Authors: Sierra Noakes, Alison Shell, Alexis M. Murillo, Parker Van Nostrand, Pati Ruiz, Shayla Cornick, Sana Karim, Digital Promise
Source: Digital Promise. 2024.
Availability: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
Peer Reviewed: N
Page Count: 47
Publication Date: 2024
Sponsoring Agency: Bill and Melinda Gates Foundation
Document Type: Reports - Research
Education Level: Elementary Secondary Education
Descriptors: Ethics, Equal Education, Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Barriers, Educational Innovation, Readiness, Technology Integration, Best Practices, Models
Abstract: This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for cross-disciplinary and collective problem-solving, and consider the potential for each sector to drive forward an equitable future for AI in education. Preliminary findings from these projects show early evidence of AI's effectiveness in various tasks, including translation, speech recognition, personalization, organizing and summarizing large qualitative datasets, and streamlining tasks to allow teachers more time with their students. However, these projects also experienced challenges with the current capabilities of AI, often leading to resource- and time-intensive processes, as well as difficulties around adoption and implementation. Additionally, many surfaced concerns around the ethical development and use of AI. Through this work, we have seen exciting ways that cross-sector collaborations are taking shape and gained a large sample of examples that emphasize the need for co-design to build meaningful AI-enabled tools. We call on education leaders, educators, students, product developers, nonprofits, and philanthropic organizations to step back from our day-to-day and imagine a revolutionized education system.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED671302
Database: ERIC
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  Data: An Ethical and Equitable Vision of AI in Education: Learning across 28 Exploratory Projects
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  Data: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
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  Data: This report shares the learnings across 28 exploratory projects from teams across K-12 school districts, nonprofits, and nonprofit and for-profit edtech companies, leveraging AI to support numerous goals across K-12 educational settings. Through this report, we aim to highlight the early successes of AI, surface the key barriers that call for cross-disciplinary and collective problem-solving, and consider the potential for each sector to drive forward an equitable future for AI in education. Preliminary findings from these projects show early evidence of AI's effectiveness in various tasks, including translation, speech recognition, personalization, organizing and summarizing large qualitative datasets, and streamlining tasks to allow teachers more time with their students. However, these projects also experienced challenges with the current capabilities of AI, often leading to resource- and time-intensive processes, as well as difficulties around adoption and implementation. Additionally, many surfaced concerns around the ethical development and use of AI. Through this work, we have seen exciting ways that cross-sector collaborations are taking shape and gained a large sample of examples that emphasize the need for co-design to build meaningful AI-enabled tools. We call on education leaders, educators, students, product developers, nonprofits, and philanthropic organizations to step back from our day-to-day and imagine a revolutionized education system.
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  Data: 2025
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        PageCount: 47
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      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Equal Education
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Elementary Secondary Education
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      – SubjectFull: Barriers
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      – SubjectFull: Educational Innovation
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      – SubjectFull: Readiness
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      – SubjectFull: Technology Integration
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      – SubjectFull: Best Practices
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      – TitleFull: An Ethical and Equitable Vision of AI in Education: Learning across 28 Exploratory Projects
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