Launch: AI for the Environment Report
This event does not require registration.
Wed 18 May 1:40 PM - 2:40 PM
The report is intended to help create a shared understanding of how artificial intelligence (AI) can be applied to a range of environmental issues in Aotearoa New Zealand. At its centre is ensuring that te taiao (the environment, the natural world) is nourished and its mauri (life force and vital essence) is kept in balance.
It provides an overview of the current state of AI for the environment in Aotearoa New Zealand, and what a thriving future could look like. It outlines the challenges to increasing uptake and proposes areas for future focus, combining mātauranga Māori and Western science perspectives on crucial environmental work, like preserving and bolstering biodiversity.
We will talk about the follow-on work we are planning, shows Aotearoa leading the way in both thought leadership and action.
Managing Director, Lynker Analytics; Executive Council Member, AI Forum NZ
Matt leads a team developing data science, geospatial analytics and data infrastructure solutions, with specific expertise applying location and environmental data in machine learning models as well as Active Learning - a human in the loop approach to model training.
Wildlife biologist using data science tools to better understand complex environmental and social issues. Skilled in data science, statistical modelling, urban ecology, and citizen science.
Marine Technical Advisor, Department of Conservation; Post Doctoral Fellow, University of Wellington
Monique is working as a part the Managed Seas project (http://sustainableseaschallenge.co.nz/programmes/managed-seas) for the New Zealand government’s program Sustainable Seas, using machine learning tools to explore the assumptions built into ecosystem models.
Director, Te Ipu o te Mahara AI Institute, University of Waikato; Professor, LTCI, Telecome Paris, Institute Polytechnique de Paris
Albert is an experienced international lead for software projects for business analytics, artificial intelligence, data mining and machine learning. He is the author of the books "Machine Learning for Data Streams with Practical Examples in MOA" from MIT Press (https://mitpress.mit.edu/books/machine-learning-data-streams) and "Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams".
Executive Director, AI Forum
Madeline has extensive experience in strategy, transformational change and helping people to see the potential that innovative technologies bring and is excited to join the AI Forum of New Zealand as Executive Director.
Originally from New Zealand, Madeline has been working with AI and Tech in mental health, financial services and regulation spaces in the UK, where she helped to shape and deliver the Financial Conduct Authority’s internationally renowned RegTech innovation programme. Most recently she was Head of Innovation and Product for a science based digital mental health service. She brings new thinking and international connections to our AI community.