MSF IFM: Fundraising Directors workshop on ChatGPT and generative AI
MSF IFM: Fundraising Directors workshop on ChatGPT and generative AI

MSF IFM: Fundraising Directors workshop on ChatGPT and generative AI

Date
June 20, 2023

This session for MSF Directors of Fundraising asked the following question: "How Might We… use generative AI to develop our growth mindset?". The session was practical, outlining the opportunity for Fundraising Directors to be more productive, efficient and effective in their day-to-day work by using generative AI tools. The main focus was ChatGPT, but the session also covered other AI tools and development.

1. Key definitions

❓
AI - Artificial Intelligence The development of computer systems that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
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LLMs - Large Language Models A type of machine learning model used in generative AI that is trained on massive amounts of text data to generate new and original content.
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Generative AI A subtype of AI that involves using machine learning models to generate new and original content, such as text, images, or music.
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GPT - Generative Pre-trained Transformer A type of LLM developed by OpenAI that is widely used in generative AI applications. The basis of ChatGPT.

2. Deep dive: ChatGPT

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Tips and hints for prompting

1️⃣
Roles Tell ChatGPT what role to play based on your needs. For example, you can ask ChatGPT to be a co-designer, an opportunity engine, a coach, a critical friend, a personal trainer, an impersonator, a futurist, or a risk assessor.
2️⃣
Context Provide detailed background information and content to help ChatGPT understand the situation and generate relevant responses.
3️⃣
Converse Have a conversation with ChatGPT and ask for changes, improvements, or clarifications on the generated content.
4️⃣
Analyse Identify strong and weak points in the generated responses and provide feedback to ChatGPT to help it improve.
5️⃣
Focus Use ChatGPT to support your areas of expertise and generate content that aligns with your goals.
6️⃣
Polite Be engaging and friendly with ChatGPT to establish a positive working relationship.
7️⃣
Guide Provide specific information and examples of outputs you want to help ChatGPT understand your needs and generate more relevant content.
8️⃣
Separate Use different chats for different topics and name each chat to keep track of the generated content.
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Limitations

1️⃣
2021 data cut-off ChatGPT is trained on text data up until 2021, so it may not have knowledge of recent events or developments.
2️⃣
No internet access ChatGPT does not have access to the web, unless you are using Browsing mode in the pro version.
3️⃣
Eager to please and makes stuff up ChatGPT may generate content that is inaccurate or misleading in an effort to please the user.
4️⃣
Different GPT models There are different versions of GPT models, such as GPT3.5 and GPT4, with varying levels of intelligence and features.
5️⃣
You won’t get the same answer twice ChatGPT generates original content each time, so you may not get the same answer twice.
6️⃣
Free version is often inaccessible The free version of ChatGPT may be inaccessible due to high demand or other factors.
7️⃣
Limited memory (context window) ChatGPT can only consider a certain amount of context when generating content.

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Test example prompts

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ChatGPT as a Partner
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ChatGPT as a Assistant
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ChatGPT as a Team member

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3. Risks and concerns around Generative AI

  1. Misuse for misinformation/disinformation - Generative AI can be misused to spread false or misleading information.
  2. Bias in outputted information - Generative AI can perpetuate biases present in the training data.
  3. Data privacy - The inputted data used to train generative AI models may be sensitive and require protection.
  4. Credibility and reputational risk - Misuse of generative AI can damage the credibility and reputation of individuals or organizations.
  5. Environmental impact of training and using LLMs - Training and using LLMs requires significant computing power and may have environmental impacts.
  6. Copyright of training data and produced outputs - Ownership and licensing of training data and produced outputs can be complex and require legal considerations.
  7. Reputational and credibility risks if misused - Misuse of generative AI can result in reputational and credibility risks for individuals or organizations.

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4. Generative AI Tools database

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AI chatbot
ChatGPT
Bing AI
Need to use Edge Browser and have a Microsoft account
Bard
Not available in EU
Claude.AI
Currently only available in the UK and US.
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ChatGPT Plugins
Change
Diagrams
Wolfram
Speechki
Voxscript
Whimsical Diagrams
Show Me Diagrams
ChatGPT Advanced Data Analysis
Included in ChatGPT Pro subscriptions, used to be called “ChatGPT Code Interpreter”
Browsing with Bing
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Copywriting
Dataro AI Assist
Fundraising Copywriting AI assistant
Nick Scott’s side project
Jasper.AI
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Document chat
PDF.ai
Chatdoc
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AI presentations
Gamma
Beautiful.ai
StoryD
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AI Meeting Transcription
Otter.AI
Fireflies.AI
Airgram
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AI graphics
Microsoft Designer
Canva
Adobe Firefly
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AI image creation or manipulation
DALL-E
Built into ChatGPT
Midjourney
Used within the Discord app
Ideogram
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AI text to speech (TTS)
Speechki
Lovo.ai
Speechify
Murf
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Automation
Zapier
Make.com
Bardeen

6. Some suggested next steps

  1. Test some of the examples provided in this session and explore the capabilities of generative AI.
  2. Follow some AI influencers and stay up-to-date with the latest developments in the field.
  3. Identify users within your teams who could benefit from using generative AI tools and explore potential use cases.
  4. Develop safe spaces for experimentation in your team(s) and encourage innovation and creativity.

Contact Nick Scott

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