My invited talk at the CILIP UKeiG AGM
There’s much we do not yet know about the impact of AI within academia, it offers both opportunities and threats. One potential benefit could be in the area of research dissemination, but that is not without potential hazards. Academics and aligned specialists, including library and information professionals all have a vested interest in the communication of new knowledge. The barrier to this often comes down to the triple threat of time, money and expertise - AI might be able to help with that.
In his presentation Andy will explore some of the opportunities to employ AI to help disseminate research using digital technologies and AI but also investigate what threats lie under the surface.
3. “ALL MANKIND IS
DIVIDED INTO
THREE CLASSES:
THOSE THAT ARE
IMMOVABLE,
THOSE THAT ARE
MOVABLE,
AND
THOSE THAT MOVE. ”
BENJAMIN
FRANKLIN
4.
5. Bigger than the sum of its parts – Finding a focal point for engaging university communication teams
https://blogs.lse.ac.uk/impactofsocialsciences/2023/03/10/bigger-than-the-sum-of-its-parts-finding-a-focal-point-for-engaging-university-communication-teams/
6. AI can help research communications
by freeing up time for the researcher
Researcher Workflow - Roger C Schonfeld (2017)
https://sr.ithaka.org/blog/what-is-researcher-
7.
8.
9.
10.
11. SKETCHING
A PLAN
• For many academics
this is unfamilar
territory
• Caveats apply -
amend and run it by
communications
experts for comment
14. • ChatGPT was given a background and specific aims to
include in the grant proposal.
• The AI model was asked to write the Specific Aim page,
Background, Introduction, and sections on safety and
the necessity for academic funding.
• After completing these sections, the AI was asked to
write an Innovation and Impact section.
• The experimental design was broken down into tasks
for each aim, and the AI was asked to provide details
for each task.
• Finally, the AI was asked to develop a timeline and a
future perspective for the proposal.
https://researcher.life/blog/article/ai-technology-for-grant-writing/
15. • Use AI to help you prepare an application you were going to make anyway – don’t use it
to flood the system with similar-but-different project proposals.
• Use AI to help you formulate your idea, get creative with solutions, and come up with a
fundable, viable research project.
• Use AI to create a background to your project with certain research papers as basis for
that (although this will still need checking).
• Use AI to – possibly – create a first draft of each section of the grant application.
• Don’t use AI to create ‘preliminary data’, tables, or figures. And absolutely not to
create falsehoods related to your grant application.
• Don’t rely on AI to be right. Human expert review BEFORE you submit will (for now)
always be the gold standard for catching errors, repetition, and omissions.
16. hallucination
In artificial intelligence (AI), a hallucination or artificial hallucination (also
occasionally called confabulation or delusion) is a confident response by
an AI that does not seem to be justified by its training data
https://en.wikipedia.org/wiki/Hallucination_(artificial_intelligence)
18. "It provided five references dating to the early 2000s. None of the provided paper
titles existed, and all provided PubMed IDs (PMIDs) were of different unrelated
19. Can you write a 300 word lay summary, press release that the general
public would understand from this following research abstract?
https://pubmed.ncbi.nlm.nih.gov/30240418
26. THE 1 MINUTE PRESENTATION
• A useful primer
• 90% correct, although included
traditional metrics as an altmetric
• lack of citations
• quite vanilla, but it took 1-2 minutes to
create
27. IMAGE GENERATION
Some research areas are hard to capture in the form of an image - Health
economics
Areas of research such as clinical trials, are not always carried out by researchers
in white lab coats holding test tubes
Not everyone has access to a Getty Images account
Finding the right image
Not everything is as it seems
Creative Commons go only so far
Paying for actors, (patients/students etc) can cost money, accessing locations
requires special permissions.. Photographic permission forms might be needed.
Taking your own images can cost
28. 'Generate a photo realistic, high definition image of a British south Asian female NHS
nurse helping an old white patient on crutches walk down a hospital corridor which
has blue walls and a grey floor, with a sunlit window to their right hand side'
https://gencraft.com/
29. 'A high definition photo, of a smiling British south Asian female nurse who works in
the nhs and is helping a concerned looking grey haired, 80 year old male patient walk
on crutches down a brightly lit hospital corridor, both are looking at each other'
https://labs.openai.com
30. 'A high definition photo, of a smiling British south Asian female nurse who works in
the nhs and is helping a concerned looking grey haired, 80 year old male patient walk
on crutches down a brightly lit hospital corridor, both are looking at each other'
TERMINATOR ARM
31. CANVA
'A young white female research student working in a laboratory reading a dataset on a laptop'
RETRO
ANIME
FILMIC WATERCOLOUR
https://www.canva.com/ai-image-generator/
43. In summary
• Human input crucial (no one knows your research
better than you)
• Copyright (who owns what?)
• Quick wins (podcast and video creation)
• Hallucinations problematic
• Time savings for lay summaries and blogs (human
input important)