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UTEP · AAIIAI News Digest
Archived digest · Week of Mar 16 - Mar 22, 2026

Applied AI news,
scored for your field

Each week the Institute for Applied AI Innovation reviews AI publications and scores them for Research Relevance, Educational Value, Innovation/Novelty, Practical Impact, Interdisciplinary Potential and Ethical/Policy Implications. Then it writes summaries for each discipline at UTEP.

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Your Discipline 10 stories

The Week at a Glance

Education & Leadership · Mar 16 - Mar 22, 2026

Education & Leadership. Teacher education, educational leadership, engineering education. Prefers pedagogy, learning science, edtech, and equity in STEM.
Departments: Educational Leadership, Engineering Education & Leadership, Teacher Education
Education & Leadership

Equity and Creativity Shape Future AI Education

Recent articles highlight the growing emphasis on equity, diversity, and inclusion (EDI) in artificial intelligence, advocating for a more inclusive approach to AI governance and education. The establishment of collaborative hubs, such as the MIT and HPI AI and Creativity Hub, aims to enhance creativity and interdisciplinary collaboration in AI. Additionally, new frameworks for measuring progress toward Artificial General Intelligence (AGI) and initiatives to empower educators in AI literacy reflect a shift towards more responsible and effective AI integration in educational settings. These developments signal a transformative period in AI, focusing on human collaboration and ethical considerations.

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Key Findings
  • A new Collection aims to integrate EDI principles into the AI lifecycle.
  • Research shows AI can enhance human creativity rather than just automate tasks.
  • The MIT and HPI AI and Creativity Hub is launched to foster collaboration.
Implications
  • Increased focus on EDI may lead to more equitable AI systems.
  • AI's role as a creative collaborator could redefine educational practices.
  • Collaborative initiatives may enhance interdisciplinary research and innovation in AI.

Key Metrics

Numbers reported in that week's stories
Over 800 participants involved in AI creativity research
10-year initiative for the MIT and HPI AI and Creativity Hub
Weekly summary for Education & Leadership

Education & Leadership

Top articles by AAII Impact Score (out of 30).

Browse the archive ›
No. 1 · Computer Science

Emerging roles and trends of equity, diversity, and inclusion in artificial intelligence

Research Computer SciencePolitical Science & Public AdministrationSociology & AnthropologyEducational Leadership
· 03/21/2026
28/30 AAII Impact Score

AI Summary: This article outlines a new Collection aimed at integrating equity, diversity, and inclusion (EDI) principles into the AI lifecycle through empirical and theoretical research. The Collection seeks to advance interdisciplinary studies that critically assess how AI systems impact various human identity axes, promote methodological innovations linking technical AI research with societal values, and present diverse global perspectives on EDI. It features 14 accepted papers that explore topics such as fairness in recidivism prediction, value pluralism in generative AI, and a multilevel framework for justice-oriented AI, emphasizing the need for context-sensitive approaches and broader discussions on power and representation in AI. The Collection reflects a shift from narrow bias mitigation to addressing systemic inequities and social transformation within AI systems.

Topics: AI Ethics & SafetyFairness in Recidivism PredictionValue Pluralism in Generative AIJustice-Oriented AI FrameworkEquity, Diversity, and Inclusion in AI
AI Rubric Scores
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
5
Read the full article ›
No. 2 · Political Science & Public Administration 27/30

Pluralistic AI governance: Indigenous knowledge and the right of Indigenous peoples to self-determination

· 03/17/2026
Policy & Ethics Political Science & Public AdministrationSociology & AnthropologyEducational Leadership

AI Summary: The article critiques global AI governance frameworks, particularly the proposed International AI Organization (IAIO), for marginalizing Indigenous participation and perpetuating hierarchical power dynamics. It argues that Indigenous peoples should not be treated merely as stakeholders but recognized as distinct entities with unique governance systems and knowledge. To achieve genuine inclusion, the IAIO must ensure ongoing Indigenous representation and authority, grounded in principles such as Free, Prior and Informed Consent (FPIC) and the CARE Principles. Additionally, the article emphasizes the need for dedicated funding and capacity-building to empower Indigenous communities in AI governance, moving beyond tokenism to substantive engagement.

Topics: AI Policy & RegulationIndigenous Knowledge SystemsFree, Prior and Informed ConsentAI Governance Frameworks
AI Rubric Scores +
Research Relevance
4
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
5
Read Full Article ›
No. 3 · Computer Science 26/30

Measuring progress toward AGI: A cognitive framework

· 03/17/2026
Research Computer SciencePsychologyEngineering Education & Leadership

AI Summary: The article announces the release of a paper titled “Measuring Progress Toward AGI: A Cognitive Taxonomy,” which aims to establish a scientific framework for evaluating the cognitive capabilities of AI systems as they progress toward Artificial General Intelligence (AGI). The framework is based on research from psychology, neuroscience, and cognitive science, identifying ten key cognitive abilities deemed essential for general intelligence in AI. Additionally, the authors are collaborating with Kaggle to host a hackathon, encouraging the research community to develop evaluation methods that implement this cognitive taxonomy.

Topics: Artificial General IntelligenceCognitive TaxonomyEvaluation MethodsCognitive Abilities
AI Rubric Scores +
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
3
Read Full Article ›
No. 4 · Educational Leadership 25/30

Scientists discover AI can make humans more creative

· 03/16/2026
Research Educational LeadershipComputer SciencePsychology

AI Summary: Research from Swansea University challenges the conventional view of AI as merely a tool for automating tasks, presenting it instead as a creative collaborator that enhances human engagement and exploration. In a study involving over 800 participants, an AI-supported system utilized the MAP-Elites method to generate diverse design galleries for virtual cars, leading to improved design outcomes and increased user involvement. The findings suggest that traditional metrics for evaluating AI tools may be inadequate, as they often fail to capture the broader impacts on creativity and user experience. The study emphasizes the importance of diversity in AI-generated outputs, indicating that a range of ideas, including flawed ones, can stimulate creative thinking and prevent fixation on initial concepts.

Topics: Generative AIAI-Enhanced CreativityDiversity in AI OutputsUser Engagement in Design
AI Rubric Scores +
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
4
Ethical/Policy Implications
3
Read Full Article ›
No. 5 · Computer Science 25/30

What’s the right path for AI?

· 03/20/2026
Policy & Ethics Computer SciencePolitical Science & Public AdministrationEducational Leadership

AI Summary: At a recent MIT conference, journalist Karen Hao emphasized the need to shift AI development away from large-scale data use and hyper-complex models, advocating for smaller, task-specific AI systems that can deliver significant benefits with less resource consumption. She highlighted the example of AlphaFold, a tool for protein structure identification, which operates on curated datasets and demonstrates the potential of focused AI applications. Scholar Paola Ricaurte reinforced the importance of purpose-driven AI, stressing that technologies should be designed to meet the needs of the communities that will use them. The event, which attracted over 300 attendees, aimed to foster discussions on the implications of AI, particularly in relation to gender and societal impact.

Topics: AI EthicsTask-Specific AI SystemsProtein Structure IdentificationPurpose-Driven AI
AI Rubric Scores +
Research Relevance
3
Educational Value
4
Innovation/Novelty
4
Practical Impact
5
Interdisciplinary Potential
4
Ethical/Policy Implications
5
Read Full Article ›
No. 6 · Computer Science 25/30

MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity

· 03/20/2026
Research Computer ScienceArtEngineering Education & LeadershipEducational Leadership

AI Summary: The MIT School of Architecture and Planning, MIT Schwarzman College of Computing, Hasso Plattner Institute (HPI), and Hasso Plattner Foundation have launched the MIT and HPI AI and Creativity Hub (MHACH), a 10-year initiative aimed at enhancing collaboration between computing and design in the context of artificial intelligence. Funded by the Hasso Plattner Foundation, the hub will support interdisciplinary research, educational programs, and fellowships focused on AI applications across various fields. The collaboration builds on previous successful partnerships and aims to create an environment conducive to innovation and real-world impact, with an inaugural workshop scheduled for March 2024 to establish initial research priorities. Academic leaders from both institutions will jointly guide the hub's agenda, emphasizing the integration of technology, creativity, and societal challenges.

Topics: Generative AIAI and CreativityInterdisciplinary ResearchAI Applications in Design
AI Rubric Scores +
Research Relevance
4
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
3
Read Full Article ›
No. 7 · Computer Science 25/30

MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

· 03/17/2026
Research Computer ScienceEngineering Education & Leadership

AI Summary: The article discusses the significant role of the MIT-IBM Watson AI Lab in supporting early-career faculty members at MIT, particularly in the field of artificial intelligence. Faculty members, including Jacob Andreas and Yoon Kim, highlight how their engagement with the lab has provided essential computational resources and intellectual collaboration, enabling them to launch ambitious research projects and adapt to evolving challenges in natural language processing and large language models. The collaboration fosters interdisciplinary research, allowing faculty to develop innovative methods and enhance their research capabilities. Overall, the MIT-IBM Watson AI Lab serves as a transformative platform for emerging researchers in AI.

Topics: Large Language ModelsNatural Language ProcessingInterdisciplinary ResearchComputational Resource Access
AI Rubric Scores +
Research Relevance
4
Educational Value
4
Innovation/Novelty
4
Practical Impact
5
Interdisciplinary Potential
5
Ethical/Policy Implications
3
Read Full Article ›
No. 8 · Political Science & Public Administration 25/30

Data-centric AI governance for responsible organizational value: evidence from a European public administration

· 03/19/2026
Research Political Science & Public AdministrationComputer ScienceEngineering Education & Leadership

AI Summary: This analysis investigates the practical governance of the DGOBCAN-AI system, focusing on the observed dynamics during its implementation rather than a predefined theoretical framework. The study identifies three key dimensions: operational efficiency and institutional innovation, technical and data governance practices, and ethical and organizational responsibility. Findings indicate that the automation of document processing significantly reduced the time required for initial screenings, allowing staff to concentrate on high-level analysis of relevant cases, while also fostering new institutional capabilities and enhancing organizational responsiveness. The research highlights that strategic management of AI-driven efficiency gains can augment human expertise within public sector workflows, rather than replace it.

Topics: AI Policy & RegulationData Governance PracticesOperational Efficiency in AIEthical AI Implementation
AI Rubric Scores +
Research Relevance
4
Educational Value
3
Innovation/Novelty
4
Practical Impact
5
Interdisciplinary Potential
4
Ethical/Policy Implications
5
Read Full Article ›
No. 9 · Educational Leadership 25/30

Haraway’s cyborg manifesto in education: after AI

· 03/17/2026
Education Educational LeadershipEngineering Education & LeadershipComputer Science

AI Summary: The article explores the methodological implications of Donna Haraway's "A Cyborg Manifesto" in the context of digital education, emphasizing the need for a nuanced understanding of the interplay between human, machine, and animal relations. It critiques the prevailing focus on clear-sighted critique in digital education, advocating instead for an appreciation of the joys and transgressions that can emerge from these interactions. The author presents three examples of contemporary work that resonate with Haraway's ideas, suggesting they hold potential for transforming educational practices involving AI. The discussion includes the concept of "alien logic" as proposed by Parisi, which challenges dominant narratives of technological inevitability and advocates for reclaiming subjectivity from automated systems.

Topics: AI EthicsCyborg EducationAlien LogicHuman-Machine Interaction
AI Rubric Scores +
Research Relevance
4
Educational Value
4
Innovation/Novelty
5
Practical Impact
3
Interdisciplinary Potential
5
Ethical/Policy Implications
4
Read Full Article ›
No. 10 · Educational Leadership 25/30

From Apprehension To Empowerment: Creating A Four-Part AI Education PD Series

· 03/19/2026
Education Educational LeadershipEngineering Education & Leadership

AI Summary: Courtney Bock, an AI Implementation and Library Media & Technology Specialist in Washington State, has developed a four-part professional development series aimed at enhancing AI literacy among educators in her district, which serves approximately 10,500 students. The program includes sessions on foundational AI knowledge, addressing cheating with AI, using AI with students, and improving teacher workflow through AI tools. Post-training data indicates a 50% increase in teacher confidence in using AI tools and a 48% increase in preparedness to teach AI ethics. Bock emphasizes the importance of focusing on AI literacy before introducing specific tools to ensure educators fully understand the underlying concepts.

Topics: AI EducationAI LiteracyAI Ethics TrainingTeacher Workflow Optimization
AI Rubric Scores +
Research Relevance
3
Educational Value
5
Innovation/Novelty
4
Practical Impact
5
Interdisciplinary Potential
4
Ethical/Policy Implications
4
Read Full Article ›
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