Compare use cases

Compare the eight uses of AI. Each column shows one use, with the same information in each row.

Use case 1
Drafting & editing writing
Communications Communications
Use case 2
Research & background gathering
Research & Development Research & Development
Use case 3
Data & spreadsheets
Planning & analysis Planning & analysis
Use case 4
Admin & scheduling
Scheduling & logistics Scheduling & logistics
Use case 5
Summarizing documents & meetings
Document review Document review
Use case 6
Brainstorming & ideas
Arts & Culture Arts & Culture
Use case 7
Grants & funder reporting
Fundraising Fundraising
Use case 8
Translation & identification
Translation & Language Access Translation & Language Access
Used at
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The organization
The BentwayThe organization
The tools
The tools staff named
ChatGPT · Claude · CopilotThe tools staff named
The tools staff named
ChatGPT · Gemini · PerplexityThe tools staff named
The tools staff named
ChatGPT · GeminiThe tools staff named
The tools staff named
ChatGPT · GeminiThe tools staff named
The tool staff named
ChatGPTThe tool staff named
The tools staff named
ChatGPT · ClaudeThe tools staff named
The tools staff named
ChatGPT · ClaudeThe tools staff named
The tools staff named
Google Lens · GeminiThe tools staff named
The system
Creating (Generative AI)

The system drafts, and a person decides what to do next.

Understanding (Semantic AI)Deciding (Analytical AI)

The system understands and recommends, and a person decides what to do next.

Understanding (Semantic AI)Deciding (Analytical AI)

The system understands and recommends, and a person decides what to do next.

Creating (Generative AI)

The system drafts, and a person decides what to do next.

Understanding (Semantic AI)

The system understands, and a person decides what to do next.

Creating (Generative AI)

The system drafts, and a person decides what to do next.

Creating (Generative AI)

The system drafts, and a person decides what to do next.

Sensing (Perceptive AI)Understanding (Semantic AI)

The system senses and understands, and a person decides what to do next.

Data flow
Sensitive personal information
a rough draft that may name partners or funders IdentifiableSensitive personal information
pasted into a vendor chatbot · no rule yet on what is safe to share↓
Language Models
rephrase, tighten, adjust toneLanguage Models
↓
Generated content
a polished draft IdentifiableGenerated content
reviewed by staff before sharing
Generated content
your questions and rough notes Generated content
about materials, artists, sites and precedents↓
Search & Retrieval
an overview that may lack sourcesSearch & Retrieval
↓
A recommendation or prediction
suggestions for further research A recommendation or prediction
cross-referenced before staff rely on it
Operational data
spreadsheets with contact lists, budgets or survey results IdentifiableOperational data
whole files uploaded to a vendor chatbot↓
Language Models
compare, remove duplicates, reformatLanguage Models
↓
Operational data
a cleaned or merged sheet IdentifiableOperational data
errors have been caught in review
Operational data
schedules, lists and itinerary details IdentifiableOperational data
artist travel and contact details included↓
Language Models
format, sort, lay outLanguage Models
↓
Generated content
a tidy schedule or list IdentifiableGenerated content
checked before it circulates
Sensitive personal information
meeting notes and documents that may name colleagues and partners IdentifiableSensitive personal information
shared with a vendor chatbot to condense↓
Language Models
condense and synthesizeLanguage Models
↓
Generated content
a summary for staff to review Generated content
important details may be left out
Generated content
a prompt and a half-formed idea Generated content
early thinking, before it is shared with anyone↓
Language Models
variations, angles, themesLanguage Models
↓
Generated content
raw options to react to Generated content
suggestions for staff and artists to develop
Sensitive personal information
draft applications, plus the funder’s name and priorities IdentifiableSensitive personal information
organizational strategy shared with a vendor↓
Language Models
refine, reframe, tailor to the funderLanguage Models
↓
Generated content
polished, funder-specific text Generated content
whether to tell funders about AI use is unresolved
About a place
a photo of a plant, machine part or text About a place
taken on site, under the Gardiner↓
Computer Vision
look for similar images onlineComputer Vision
↓
A recommendation or prediction
a best guess at a name A recommendation or prediction
verified on other sites before staff act
Risks staff flagged
Losing the human voice
Losing the human voiceLosing the human voice was the most common concern in the survey. Responses raised concerns about the quality of AI writing and keeping a distinct Bentway voice.
How it's managedSome staff described editing AI suggestions to keep their own tone and wording.
Privacy & confidentiality
Privacy & confidentialityDrafts may contain partner or funder details. Staff want guidance on what information they can share with AI tools.
!No safeguard in place yet
Environmental cost
Environmental costSeveral staff ranked environmental impact as their main concern. Some avoid AI because they feel its use conflicts with the Bentway’s sustainability work.
How it's managedProposed by staff: count AI use in the Bentway’s environmental impact reports, like commuting and guest travel.
Confident but unsourced
Confident but unsourcedAI answers can be taken as fact without supporting sources or context. One response described this happening with pay figures.
How it's managedStaff described checking other sources. One response noted that this can cancel out the time saved.
Relying on AI without checking
Relying on AI without checkingStaff raised concerns about people accepting AI answers without checking the information or using their own judgement.
How it's managedStaff want people to review AI output and remain responsible for decisions.
What the questions reveal
What the questions revealResearch questions may reveal information about artists, partners or plans to the tool provider. Staff want guidance on what is safe to share.
!No safeguard in place yet
Errors in the results
Errors in the resultsOne response described finding errors that made the task slower than doing it manually. Mistakes could be carried into presentations or reports if they go unnoticed.
How it's managedResponses describe checking AI output before using it.
Contact lists on vendor servers
Contact lists on vendor serversUploading a contact list shares other people’s details with the tool provider. Staff raised concerns about privacy and how this information is handled.
!No safeguard in place yet
Environmental cost
Environmental costSome staff feel that the time saved on routine tasks does not justify the environmental impact. This is one reason they avoid using AI.
How it's managedProposed by staff: count AI use in the Bentway’s environmental impact reports.
Artists’ details in the prompt
Artists’ details in the promptAn itinerary can include accommodation and travel details. Staff want privacy guidance for information shared with AI tools.
!No safeguard in place yet
Environmental impact of routine tasks
Environmental impact of routine tasksSome staff question whether using AI for simple tasks is worth the environmental impact, given the Bentway’s sustainability commitments.
How it's managedConsider whether the task needs AI. Some staff choose to do it without these tools.
Errors or omissions in a summary
Errors or omissions in a summaryA summary may leave out important details or get them wrong. Readers could miss those errors if they do not check the original.
How it's managedCheck key points against the original document and keep it available for reference.
Whose work gets read?
Whose work gets read?Readers may rely on a summary instead of reading a colleague’s work in full. This could affect how that work is understood and used.
!No safeguard in place yet
Ideas that all sound alike
Ideas that all sound alikeAI suggestions may be generic or repetitive. Staff raised concerns about losing the human contribution in an organization focused on public art and community connection.
How it's managedStaff and artists should review the suggestions and decide which ideas to develop.
AI in creative work
AI in creative workResponses mention artists submitting AI renderings and public concerns about AI imagery at an exhibition. Staff want to know the Bentway’s policy on using AI in visual media.
!No safeguard in place yet
How funders might react
How funders might reactOne response described being unlikely to tell external partners or funders about using AI. Reactions from these groups were also a concern in the wider survey.
!No safeguard in place yet
An error in an application
An error in an applicationIncorrect figures or program details in an application could affect funding decisions.
How it's managedOne response described writing a draft first, then using AI to improve the wording. Figures and claims still need to be checked.
Losing the writer’s voice
Losing the writer’s voiceAdapting a draft to a funder’s priorities can also change its tone. Losing the human voice was the most common concern across the survey.
How it's managedStart with a staff-written draft and review changes to keep the intended voice.
Incorrect identification or advice
Incorrect identification or adviceOne response described having to work past incorrect AI advice about older or unusual equipment. A wrong identification could lead to an unsuitable repair or treatment.
How it's managedThe response described checking other websites before acting on an identification.
Who is affected
Partners, funders & the public who read Bentway communications Wider community
emails, captions and reports written with AI assistanceaffected together, beyond any one person it processes.
Staff who build on what it returns Wider community
8 of 18 staff use AI this wayaffected together, beyond any one person it processes.
People in the spreadsheets Caught incidentally
contacts, artists and survey respondents listed in uploaded filesswept into the data; no decision is made about them.
Artists & guests being scheduled Caught incidentally
their travel, timing and contact detailsswept into the data; no decision is made about them.
Colleagues & partners whose words are condensed Caught incidentally
named in the notes and reports that go inswept into the data; no decision is made about them.
Staff & artists shaping programs Wider community
ideas that end up in public spaceaffected together, beyond any one person it processes.
Funders reading applications & reports Wider community
the grants that keep programs runningaffected together, beyond any one person it processes.
The grounds & site team Wider community
unfamiliar plants and older or unusual equipmentaffected together, beyond any one person it processes.
You can
A person signs off
A person signs off
Ask how it was made
Ask how it was made
Bring questions or concerns to the Sept 2 workshop
Ask for sources
Ask for sources
Check the answer
Check the answer
Bring questions or concerns to the Sept 2 workshop
Fix a wrong record
Fix a wrong record
Know your data was processed
Know your data was processed
Bring questions or concerns to the Sept 2 workshop
Ask whether AI helped prepare your itinerary
Ask whether AI helped prepare your itinerary
Correct a detail
Correct a detail
Bring questions or concerns to the Sept 2 workshop
Ask for the original
Ask for the original
Have someone review the summary
Have someone review the summary
Bring questions or concerns to the Sept 2 workshop
Opting out is fine
Opting out is fine
Ask where an idea came from
Ask where an idea came from
Bring questions or concerns to the Sept 2 workshop
Disclosure is an open question
Disclosure is an open question
Have someone check the claims
Have someone check the claims
Bring questions or concerns to the Sept 2 workshop
The person on site decides
The person on site decides
Bring questions or concerns to the Sept 2 workshop