Thursday 5 December - Day Two

08:15
Registration and welcome coffee
08:50
Opening remarks from the Chair

Gurbani Singh
Senior Platforms Manager – Data
Kiwibank

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