Explore the complex issue of algorithmic trustworthiness in this 1-hour 13-minute panel discussion featuring academic and industry experts from the University of Melbourne. Delve into the benefits and challenges of relying on AI, examine whether algorithms should be trusted, and investigate how to better manage data for reliable and ethical outcomes. Learn about regulatory oversight in building and using algorithms from a diverse panel of specialists in computing, law, digital ethics, and data science. Gain insights into the current state of AI research, organizational awareness, and the importance of education in fostering responsible AI development. Analyze the risks associated with AI implementation and consider the balance between convenience and potential drawbacks in our increasingly AI-driven world.
Overview
Syllabus
Introduction
The panel
What is trust
Trust as a relationship
Power and balance
Relational contracts
Can we trust algorithms
Trust about the organisation
Challenges with AI
Organizations are becoming more aware
State of play in your organisation
AI research
Responsibility
Education
Risks
What keeps you awake
Is it worth it
What keeps me awake
Lack of skepticism
Taught by
The University of Melbourne
