Introduction to AI in Digital Archives
- Let us have an overview of AI and its evolution
- what is digital archives and their importance?
- What is the intersection of AI and digital archiving
- Key technologies in AI: Machine Learning, NLP, Computer Vision
- The role of AI in managing digital collections
- what are the Benefits and the challenges of AI in archives?
- First Case studies of AI application for archival settings
- Discussion: Expectations and goals for the course
- Read a case study on AI in archives
What are the Digital Archival Practices
- Basics of digital archival processes
- Standards and best practices in digital archiving
- Metadata creation and management
- Digital preservation strategies
- Access and user engagement in digital archives
- Ethical considerations in digital archiving
- Role of AI in enhancing archival workflows
- Group activity: Identifying pain points in digital archiving
AI Technologies and Tools for Archiving
- Overview of AI tools relevant to archives
- Machine Learning algorithms and their applications
- Natural Language Processing for metadata and text analysis
- Image and video recognition in archival materials
- Data mining techniques for archival data
- Interactive systems: Chatbots and virtual assistants
- Evaluating AI tools for archival needs
- Workshop: Hands-on with a basic AI tool
- Homework: Explore an AI tool of choice
Implementing AI in Archival Workflows
- Integrating AI into existing archival processes
- Managing digital collections with AI
- Automating metadata creation and curation
- Enhancing user access and discoverability with AI
- AI for digital preservation and conservation
- Case study analysis: Successful AI implementation
- Challenges and solutions in AI integration
- Group discussion: Potential AI applications in participants' archives
- Homework: Draft an AI implementation plan for a given scenario
Responsible Use of AI in Archives
- Ethical considerations in AI deployment
- Bias and fairness in AI algorithms
- Data privacy and security in AI systems
- Transparency and accountability in AI usage
- Legal implications of AI in digital archiving
- Developing ethical guidelines for AI in archives
- Guest speaker: Expert on AI ethics in digital archiving
- Q&A and discussion with the guest speaker
- Homework: Analyze an ethical dilemma in AI archival use
AI for Digital Preservation and Conservation
- The role of AI in digital preservation
- Predictive analysis for preservation needs
- AI in conservation: Detecting and addressing degradation
- Automating backup and redundancy processes
- Case study: AI in preserving at-risk archives
- Challenges in AI-driven preservation
- Workshop: AI tools for digital preservation
- Group activity: Brainstorming AI solutions for preservation challenges
- Homework: Propose an AI-based preservation strategy for a case study
AI and User Engagement in Archives
- AI in enhancing user experience
- Personalized access and content discovery
- AI-driven virtual exhibitions and storytelling
- Chatbots and AI assistants for user queries
- Analyzing user behavior with AI
- Case study: AI in engaging diverse audiences
- Workshop: Creating an AI-driven user engagement tool
- Group discussion: Innovating user engagement with AI
- Homework: Design a user engagement campaign using AI
Managing Expectations and Limitations of AI
- Realistic expectations from AI in archives
- Addressing AI limitations and challenges
- Managing stakeholder expectations
- Training and capacity building for AI
- Overcoming resistance to AI adoption
- Balancing AI and human expertise
- Case study discussion: Overcoming AI challenges in archives
- Role-play activity: Managing expectations in an AI project
- Homework: Reflect on the role-play and propose solutions
AI, Metadata, and Text Analysis
- AI in metadata generation and enhancement
- Text analysis and extraction techniques
- Semantic analysis and ontologies
- Enhancing searchability and discoverability
- Case study: AI in metadata management
- Workshop: Using an AI tool for metadata and text analysis
- Challenges in AI-driven metadata creation
- Group activity: Designing an AI-based metadata strategy
- Homework: Evaluate an AI metadata tool
Bias and Fairness in AI for Archives
- Understanding bias in AI algorithms
- Impacts of biased AI in archives
- Methods for detecting and mitigating bias
- Ensuring fairness and inclusivity in AI systems
- Case study: Addressing bias in an archival AI project
- Workshop: Tools and techniques for bias detection
- Group discussion: Strategies to promote fairness in AI
- Role-play activity: Resolving a bias issue in an AI project
- Homework: Analyze a biased AI scenario and propose solutions
Future of AI in Digital Archives
- Emerging trends in AI and archival science
- Predictive analytics and its potential in archives
- AI in large-scale digital preservation
- Augmented and virtual reality in archives
- The role of AI in disaster recovery and risk management
- Panel discussion: Future directions of AI in archives
- Q&A with panelists
- Group brainstorming: Innovative AI applications in archives
- Homework: Create a future vision for AI in your archive
Course Wrap-up and Project Presentations
- Review of key course learnings
- Presentation of AI implementation plans by participants
- Feedback and discussion on presentations
- Challenges and opportunities ahead in AI for archives
- Course evaluation and feedback
- Networking and building a community of practice
- Certificates and closing remarks
- Future learning resources and opportunities
- Farewell and course conclusion