08:15
Registration and welcome coffee
08:50
Opening remarks from the Chair
MITIGATING REPUTATIONAL RISKS
09:00
Avoiding reputational risks from relying on AI-generated content for critical decision making
- Identifying unconscious biases to avoid poor decision-making and consequent brand damage
- Valuing the human touch to set you apart from bot-like competitors relying too heavily on AI
- Striking the right balance between using AI and ensuring proper oversight and critical analysis
Paulo Gottgtroy
Head of Decision Science and Analytics
Mercury NZ
09:30
Dissecting the dangers of deepfakes and their impact on reputation
- Defining what a deepfake is and the widespread damage misinformation can cause
- You don't know the power of the dark side – understanding why deepfakes can seem like a reasonable use of AI
- Building awareness of the ethical implications of deepfakes
Manvi Madan
Data Engineer
Ports of Auckland
10:00
Harnessing generative AI to enhance enterprise efficiency
- Streamlining processes to increase operational agility
- Elevating strategic engagement by automating routine tasks
- Amplifying workforce productivity with AI assistants
Mira Bradshaw
Head of Data Science
Stuff
10:30
Morning Tea and Networking
MAXIMISING PRODUCTION AND PROFIT WITH GENERATIVE AI
11:00
Enabling generative AI to create a more efficient, creative and less stressful workplace
- Understanding how AI can help your business cultivate and nurture a diverse and creative workforce that drives innovation forward
- Uncovering AI's capacity to create a more streamlined, productive, and less stressful environment, leading to increased profit
Amanda White
Chief Information Officer
Open Country Dairy
11:30
Developing AI policies, guidance and models to create long-term value in your business operations
- Understanding the strengths & weaknesses of generative AI before deploying it in a business setting
- Creating policies and guidance to integrate generative AI into your existing business processes and workflows
- Developing strategies to cover routine monitoring, maintenance, and ongoing refinement of your AI models to ensure long-term success
Tom Lintern
Head of Data Science
Trade Me
12:00
Lunch and Networking
13:00
Building the plane while flying: developing generative AI technology for tomorrow’s problems
- Embracing generative AI: a strategical pathway to develop technology to take us higher and faster than we have gone before
- Exploring use cases that are shifting the dial and tackling some of the big issues
- The importance of taking the organisation and stakeholders on the journey
Jan Sheppard
Chief Data and Analytics Officer
ESR
Dr Alvaro Orsi
Data Science Lead
ESR
MINIMISING ETHICAL RISKS & AVOIDING BIAS
13:30
PANEL DISCUSSION: How can you combat the significant risk of bias in generative AI models?
- What steps should businesses take to acknowledge, understand, and mitigate the risks associated with generative AI biases?
- How do biases infiltrate AI models and impact generative AI outputs?
- How can you create diverse and representative datasets to train generative AI models and counteract inherent and unconscious bias?
- How can you audit your AI systems to evaluate their performance in preventing discriminatory outcomes?
Moderator:
Mira Bradshaw
Head of Data Science
Stuff
Panellists:
Caroline Izzard
Head of Data and Insights
Plexure
Dr Julia Kotlarsky
Professor - Information Systems and Operations Management
University of Auckland
PROTECTING YOUR INTELLECTUAL PROPERTY IN THE AGE OF AI
14:30
Navigating copyright law in the era of generative AI
- Unpacking the most recent advancements in copyright law relevant to generative AI
- Examining effective strategies to navigate developing copyright laws in the context of generative AI, including licensing and attribution issues
- Assessing how your business can chart a path forward to utilise generative AI while mitigating copyright risks
Sam Irvine
Chief Executive Officer
Copyright Licensing New Zealand
15:00
Closing remarks from the Chair and conference adjourns
15:05
Afternoon Tea and Networking