Hive Bright Webinar on AI in Community Building
Introduction
- Speakers: Todd Nielsen (Clock Tower Advisors) and Morgan Wood (Hive Bright)
- Audience: Community managers, marketing managers, founders, program managers, customer success managers
- Topic: Integrating AI into community building
Todd Nielsen Introduction
- Runs Clock Tower Advisors since 2015
- Focuses on strategy for B2B and non-profit organizations
- Specializes in building online communities and digital workplaces
Overview of Webinar
- Central Questions: What is AI? How to integrate AI into community building?
- Discussion on practical tools and strategies
- Audience from over 20 countries with diverse roles
Understanding AI
- Artificial Intelligence (AI): Involves large language models and algorithms to produce meaningful outputs
- Generative AI: Creates content like images, text, etc.
- Generalized AI: More advanced and comparable to human intelligence, still developing
Use of AI in Community Building
- Elevating Productivity: AI helps streamline operations, such as writing and analyzing content
- Enhancing Member Experience: Engagements through Bots, automated responses, and content moderation
Audience Poll on AI Usage
- Results: Mix between those curious about AI and those who have tried a few tools
Practical AI Tools for Community Building
Key Tools Mentioned
- ChatGPT: For creating posts, blogs, responses; requires good prompting
- Copy.ai: Similar to ChatGPT, focuses on copy creation
- SearchUnify: Intelligent search for community content, integrated with platforms like Chorum and Vanilla
- CheckStep: Content moderation tool analyzing text, images, audio for flagging issues
- CapCut: Video editing tool, adding captions seamlessly
- Munch: For advanced video editing, enhancing video content
Todd’s AI Use Cases
- Read.ai: For transcription and sentiment analysis of user interviews
- ChatGPT: Summarizing and analyzing interview notes, enhances efficiency
Developing Good AI Prompts
- Prompts Examples: Generating guides, creating workshop agendas, inviting guests
- Best Practices: Be specific, ask AI to critique your prompts, adjust tonality and style
- Tools for Prompting: Prompt Perfect for refining prompts in ChatGPT
Bing Integration for Content Creation
- Using Bing with ChatGPT: Analyze websites, create FAQ sections, write in your style
- Examples: Applying Bing for task management, summarizing web content efficiently
Making Data-Driven Decisions with AI
Best Practices
- Define Objectives: Establish clear goals and performance indicators
- Collect & Analyze Data: Utilize user interactions, social media analytics, uncover trends
- Validate & Interpret: Verify AI outputs' accuracy and contextual relevance
Cautions and Caveats
- Data Privacy: Avoid sharing sensitive or proprietary info; anonymize data when possible
- Security: Be cautious with the security of inputs fed into AI
- Bias in AI: Acknowledge and correct biases present in AI-generated content
- Human Oversight: AI should assist, not replace, human judgment and managerial responsibility
Conclusion and Q&A
- Todd’s Recommendations: Start with ChatGPT to learn prompting skills
- Examples of AI Tools: Content at Scale for blog creation; Perplexity for summarizing discussions
- Discussion on Responsibility: Users are accountable for AI-generated content, ensure proper oversight and validation
Final Note: AI is a collaborative partner in enhancing community building, but caution and ethical considerations are crucial.