Tech in Gov 2024 - Panel: Entering the Matrix of AI & Emerging Tech Opportunities for Govt and Biz

5 months ago
4

Below is a summary of the panel video - please watch the video above!

1. Introduction and Panelists
Alex Zaharov-Reutt introduces himself and the panelists, Dr. Nataliya Ilyushina and Dr. Lisa Dethridge, both from RMIT University, and outlines the session's focus on AI and emerging tech opportunities for government and business.

2. AI and Automation Fears
Dr. Nataliya Ilyushina discusses the fears surrounding AI and automation, attributing them to a lack of understanding and digital literacy. She emphasizes that AI can only automate tasks, not entire occupations.

3. AI Implementation in Business
Discussion on how businesses and governments are implementing AI, with a focus on the slow adoption rate in Australia due to lack of legislative framework and infrastructure.

4. AI as a Colleague
Dr. Nataliya Ilyushina views AI as a colleague that complements employees and business processes. She suggests that AI should be integrated thoughtfully, similar to how a new graduate is onboarded.

5. Training AI and Humans
Dr. Lisa Dethridge shares her experience in training AI and AI trainers, comparing it to dog training and highlighting the subjective nature of the training process.

6. Opportunities for AI in Business
Discussion on the emerging opportunities for AI in business, emphasizing the need for businesses to reassess their goals and adopt a decentralized approach to AI integration.

7. Global CrowdStrike Outage
Discussion on the recent CrowdStrike outage and its impact, with a focus on the need for more resilient and fault-tolerant tech infrastructure.

8. Digital Literacy and Infrastructure
Emphasis on the importance of digital literacy and infrastructure, comparing its importance to roads and electricity supply.

9. Final Thoughts
Dr. Lisa Dethridge and Dr. Nataliya Ilyushina share their final thoughts, encouraging businesses to get hands-on with AI and emphasizing the need for government support in AI adoption.

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