New Findings: “Tracking the AI Evolution in Research Libraries: Findings from ARL’s Third AI Quick Poll”

From an Association of Research Libraries (ARL) Post by Leo Lo (U. of New Mexico) & Cynthia Hudson-Vitale (Johns Hopkins University):

The third and latest poll in this ongoing series, conducted in January 2025, provides insights from 40 ARL library deans and directors about how their institutions are integrating and responding to AI technologies. This poll builds on the findings from previous polls, each reflecting a new stage in AI adoption.

Findings From the Poll are Organized Into the Following Sections:

• View on Generative AI Potential
• Exploring or Implementing Generative AI
• Ethical Use Policies
• Financial Investments in AI
• Personal Professional Development in AI

From the Exploring and Implementing Section

Engagement with AI technologies shows steady growth. Nearly one-third of respondents (28%) reported that their libraries are actively implementing AI solutions. The largest group (53%) is in the exploratory phase, investigating potential applications, while 19% indicated plans to consider AI in the near future.

Also included in the post are responses to open-ended questions about:

• AI Partnerships
• Employee Attitudes
• Changing Views on AI

From the Changing Views on AI Section

Respondents reported diverse experiences that have influenced their perceptions of generative AI over the past year:

• Positive Shifts: Many respondents expressed growing optimism, citing successful pilot projects like metadata generation and transcription improvements. Personal experimentation with tools like ChatGPT also enhanced their understanding of AI’s potential.
• Persistent Concerns: Ethical and environmental challenges remain top of mind. Concerns about misinformation, transparency, and resource disparities temper enthusiasm.
• Early Exploration: Some respondents emphasized that AI adoption is still in its early stages, requiring sustained experimentation and investment. Collaboration and professional development were frequently mentioned as catalysts for progress.

The post concludes with:

• Trends Across the Three Polls
  • Shift from Cautious Optimism to Confident Exploration
  • Increased Engagement with AI
  • Collaboration as a Key Driver
• Key Takeaways from the Third Poll
  •  Optimism Grounded in Experience
  • Collaboration as a Critical Enabler
  •  Challenges of Scaling Adoption
  • Early Adoption with an Eye on the Future
• Broader Implications

Read the Complete Post (about 1600 words + 7 graphs)

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