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UTEP · AAIIAI News Digest
Archived digest · Week of Feb 09 - Feb 15, 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.

Read the top 10 →
Your Discipline 7 stories

The Week at a Glance

Humanities & Cultural Studies · Feb 09 - Feb 15, 2026

Humanities & Cultural Studies. History, philosophy, languages/linguistics, English/creative writing. Prefers digital humanities, archival tech, and cultural analysis.
Departments: Chicano Studies, Languages & Linguistics, Creative Writing, English, History, Philosophy
Key Findings
  • Users may experience 'hallucinations' alongside generative AI interactions.
  • The ethical beliefs of the general public differ from those of professional ethicists.
  • AI has the potential to provide companionship for individuals lacking social connections.
Implications
  • Understanding AI-induced psychosis may inform better AI design and user guidelines.
  • The divergence in ethical beliefs could lead to challenges in AI policy-making.
  • AI's role in companionship may reshape social dynamics and human relationships.
Weekly summary for Humanities & Cultural Studies

Humanities & Cultural Studies

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

Browse the archive ›
No. 1 · Psychology

What is 'AI-induced psychosis'? Study explains how chatbots may sustain delusions

Research PsychologyPhilosophyPolitical Science & Public Administration
· 02/13/2026
25/30 AAII Impact Score

AI Summary: A recent study published in *Philosophy & Technology* examines the phenomenon of human users "hallucinating" alongside generative AI systems, rather than solely attributing errors to the AI itself. The research emphasizes the interactive nature of AI-generated misinformation and how users may misinterpret or accept these inaccuracies as truth. This perspective shifts the focus from AI's limitations to the cognitive processes of users engaging with AI outputs.

Topics: AI EthicsUser HallucinationGenerative AI MisinformationCognitive Interaction with AI
AI Rubric Scores
Research Relevance
4
Educational Value
4
Innovation/Novelty
5
Practical Impact
3
Interdisciplinary Potential
4
Ethical/Policy Implications
5
Read the full article ›
No. 2 · Computer Science 25/30

Resource: Extracting Keywords from Crowdsourced Collections Project

· 02/11/2026
Research Computer ScienceEducational LeadershipHistory

AI Summary: The project "Extracting Keywords from Crowdsourced Collections," funded by a Digital Scholarship @ Oxford Research Development Grant, investigated the application of Natural Language Processing (NLP) methods to automate keyword extraction from the Their Finest Hour Online Archive, which contains over 2,000 records related to the Second World War. The research aimed to challenge the traditional manual keyword assignment process, which can be resource-intensive and may perpetuate biases, by allowing digital collection records to generate their own keyword tags. This approach seeks to enhance search and discovery while adhering to FAIR data principles, particularly in the context of crowdsourced collections of personal histories. The findings highlight the potential for NLP to democratize metadata creation and reshape historical representations.

Topics: Natural Language ProcessingAutomated Keyword ExtractionFAIR Data PrinciplesBias Mitigation in Metadata
AI Rubric Scores +
Research Relevance
4
Educational Value
3
Innovation/Novelty
4
Practical Impact
5
Interdisciplinary Potential
4
Ethical/Policy Implications
5
No. 3 · Computer Science 24/30

DHNow Newsletter, February 11, 2026

· 02/11/2026
Policy & Ethics Computer ScienceEducational LeadershipCommunicationPhilosophyPolitical Science & Public Administration

AI Summary: This curated issue addresses the intersection of open access and AI bot scraping, highlighting the challenges posed by automated data collection. It also theorizes the emergence of AI bot accounts on social media platforms. Additionally, the issue proposes heuristics aimed at enhancing user experience (UX) best practices in digital humanities. Furthermore, it includes job announcements and resources related to AI applications in cultural heritage and crowdsourced data.

Topics: AI Ethics & SafetyAI Bot ScrapingUser Experience HeuristicsCultural Heritage AI
AI Rubric Scores +
Research Relevance
4
Educational Value
4
Innovation/Novelty
3
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
4
No. 4 · Computer Science 23/30

Virtuous friendship, recognition, and subservience: the limits of chatbot friends

· 02/12/2026
Policy & Ethics Computer SciencePsychologyPhilosophyEducational Leadership

AI Summary: Meta CEO Mark Zuckerberg has proposed that AI, particularly large language models (LLMs), can provide companionship for individuals who lack sufficient human friendships, with the average American reportedly desiring around 15 friends but having only three. This perspective suggests that LLMs could supplement rather than replace human friendships, aligning with arguments by Munn and Weijers that not all friendships need to be founded on equality to be valuable. They argue that friendships between individuals with intellectual disabilities and non-disabled individuals exemplify this, asserting that the inequality present in human-AI relationships is not fundamentally different. However, the article critiques this comparison, emphasizing that the status and nature of relationships with LLMs differ significantly from those between humans, and raises concerns that reliance on AI for companionship may hinder the development of essential social skills needed for forming genuine human connections.

Topics: Large Language ModelsAI CompanionshipSocial Skills DevelopmentHuman-AI Relationship Dynamics
AI Rubric Scores +
Research Relevance
3
Educational Value
4
Innovation/Novelty
3
Practical Impact
4
Interdisciplinary Potential
4
Ethical/Policy Implications
5
No. 5 · Philosophy 21/30

Rhythmic recursion: AI and the temporal architecture of theoretical formation

· 02/15/2026
Research PhilosophyEducational LeadershipComputer ScienceSociology & Anthropology

AI Summary: This article examines the role of recursion in theoretical formation, particularly in the context of AI-induced temporal compression. It distinguishes between internal recursion, which arises from experiential mismatches that challenge existing cognitive frameworks, and external recursion, which involves interactions with established academic structures. The analysis posits that both forms of recursion are interconnected and essential for a theory to gain recognition and integration within the academic community. Ultimately, the study emphasizes that effective theoretical development requires engagement with collective cognitive processes to avoid cognitive isolation and achieve broader intelligibility and durability.

Topics: AI Ethics & SafetyTheoretical FormationCognitive FrameworksTemporal Compression
AI Rubric Scores +
Research Relevance
4
Educational Value
3
Innovation/Novelty
4
Practical Impact
2
Interdisciplinary Potential
5
Ethical/Policy Implications
3
No. 6 · Philosophy 21/30

Resource allocation by algorithms: people prefer almost any alternative

· 02/12/2026
Policy & Ethics PhilosophyPolitical Science & Public Administration

AI Summary: This study explores the concept of "folk ethics," which examines the moral beliefs of individuals without formal philosophical training, contrasting them with the views of professional ethicists. It discusses the implications of aligning moral theories with widely held intuitions, referencing the works of philosophers such as Brink, Rawls, and Singer. The authors argue that while folk ethics can inform moral theory, the relationship between intuitive judgments and ethical principles is complex and contentious, with critiques highlighting the influence of cultural upbringing on moral intuitions. Ultimately, the paper emphasizes the need for a balance between ethical theory and moral intuition in developing robust moral frameworks.

Topics: AI Ethics & SafetyFolk EthicsMoral Intuition AlignmentCultural Influence on Ethics
AI Rubric Scores +
Research Relevance
3
Educational Value
4
Innovation/Novelty
2
Practical Impact
3
Interdisciplinary Potential
4
Ethical/Policy Implications
5
No. 7 · History 13/30

How MIT’s 10th president shaped the Cold War

· 02/09/2026
Policy & Ethics HistoryPolitical Science & Public AdministrationEngineering Education & Leadership

AI Summary: The article discusses the historical significance of the Killian Report, produced by MIT under the leadership of James Killian in response to national security concerns raised by President Eisenhower in 1953. The report, which involved extensive collaboration among 42 engineers and scientists, assessed U.S. military capabilities and vulnerabilities, ultimately shaping military technology and intelligence policy during the Cold War. Delivered to Eisenhower in 1955, the 190-page document outlined the shifting balance of power between the U.S. and the USSR, predicting future trends in offensive capabilities and vulnerabilities. The report's influence extended beyond military strategy, impacting the relationship between the federal government and higher education institutions.

Topics: AI Policy & RegulationMilitary Technology AssessmentNational Security AI ApplicationsCollaboration in AI Research
AI Rubric Scores +
Research Relevance
1
Educational Value
2
Innovation/Novelty
1
Practical Impact
2
Interdisciplinary Potential
3
Ethical/Policy Implications
4
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