How AI Can Be Leveraged for the Increasing Threats of Future Pandemics training

We have learned that the Public no longer “trusts” people in power to make the right decisions in regards to COVID-19 next steps. With Artificial Intelligence being underutilized, how can AI can be utilized in the future?

What you'll learn

We have learned that the Public no longer “trusts” people in power to make the right decisions in regards to COVID-19 next steps. With Artificial Intelligence being underutilised, particularly by Public Health Officials, to augment decision making during this pandemic, how can AI can be utilised in the future? Potential options include: Building a trusted assistant the population can trust; augmenting decision making by public health officials; and accelerating the ability for critical care to be scaled effectively. Brad Twynham is a Technology Strategist with 25 years as an innovator and advisor in the Enterprise Computing Space. He is also on the Board of a Number of AI based Medtech Start Ups and one the Largest Public Health Administration Organisations in Australia. Brad is passionate about reshaping the current health system and utilising exponential technologies to re-imagine a more equitable health system for all.

Table of contents

How AI Can Be Leveraged for the Increasing Threats of Future Pandemics

• Introduction to the Impact of COVID-19 on Public Trust in Decision-Making
• The Underutilization of Artificial Intelligence in Pandemic Decision-Making
• Workshop Objectives and Exploration of Future AI
• Utilization Profile of Brad Twynham: Technology Strategist and Advocate for AI in Healthcare

Challenges in Pandemic Decision-Making

• Analysis of Public Trust Erosion in Decision-Makers
• Identifying Gaps in Traditional Decision-Making Processes
• The Role of Artificial Intelligence in Addressing Decision-Making Challenges
• Insights from Brad Twynham's Experience in Health Tech and Public Health Administration

Potential Applications of AI in Future Pandemics

• Building a Trusted AI Assistant for the Population
• Augmenting Decision-Making by Public Health Officials
• Accelerating Critical Care Scalability with AI
• Case Studies and Success Stories in AI Implementation in Healthcare

Building a Trusted AI Assistant

• Defining Characteristics of a Trusted AI Assistant
• Designing AI Systems for Transparency and Accountability
• Ensuring Ethical and Responsible AI Practices
• Overcoming Challenges in Gaining Public Trust in AI

Augmenting Decision-Making by Public Health Officials

• Integrating AI into Public Health Decision-Making Processes
• Providing Decision Support and Data-Driven Insights
• Collaborative Approaches for Human-AI Partnership
• Addressing Concerns and Misconceptions Surrounding AI in Public Health

Accelerating Critical Care Scalability with AI

• Identifying Critical Areas for Scalability Improvement
• AI Solutions for Rapid Response and Resource Allocation
• Bridging Gaps in Healthcare Infrastructure with Technology
• Lessons Learned from AI-Based Medtech Start-Ups

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