Next-Generation AI Tools & Practices for Higher Education

Foundations of AI in Higher Education

- Different types of AI and their practical applications within a Higher Education setting

- Strengths, limitations, and common misconceptions

- When to use AI and when not to

Streamline your Workflow

- Discover how AI can assist with meeting management for faculty, departments, and committees

- Automate email drafts and other correspondence

- Reduce manual workloads with automated data extraction and entry 

Master Practical AI Techniques

- Gain experience with scheduling, itineraries, and event runsheets

- Develop skills to prompt AI effectively for optimal results

- Practice prompts for emails and meeting summaries 

Ensure Privacy and Mitigate Bias

- Understand potential privacy risks unique to tertiary environments

- Ensure accuracy and avoid bias in AI-generated content

- Establish ethical AI practices that align with university policies and academic integrity

Strategic Foundations: Using AI with Purpose and Precision

- Apply AI to strengthen analysis, planning and communication

- Risks, myths and considerations when guiding or scaling AI use  

- Strategic decision points: balancing AI insights with professional judgment

Leverage AI for Strategic Decision Making

- Utilise tools to summarise documents

- Improve business reports, presentations, and speeches

Enhance Communication and Team Collaboration

- Use AI to optimise internal and public-facing communications

- Adjust tone and style to suit different audiences

- Support teams with AI-driven collaboration and presentation tools

Address Privacy and Bias Concerns

- Manage privacy concerns in decision-making and reporting

- Recognise and mitigate bias in AI-generated content

- Develop strategies to ensure accuracy in management processes