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Generative AI Insights - In person

Are we really ready for how generative AI will change our future?

Join us in person at the academyEX HQ for a panel discussion and conversation with experts. The event will take place from 4:00pm - 6:00pm.

Free
99 Khyber Pass Road, Grafton, Auckland 1023, New Zealand
This event has already occurred
Generative AI Event

What to expect

Founder & CEO of academyEX, Frances Valintine CNZM, recently ran a questionnaire designed to capture the thoughts and attitudes of New Zealanders as they respond to generative AI. The collective response of the respondents provided valuable insights outlining priorities, opportunities and concerns as people across the country think about how AI will shape their future.

There was real interest by respondents in participating in events where the topics raised in this questionnaire can be explored further with subject matter experts.

Join us for this in person event, held at the academyEX HQ in Grafton, Auckland, for a panel discussion and conversation with experts.

Who will be there?

We are thrilled to be joined by a range of expert panelists, including:

Giovanni Russello - Dr. Giovanni Russello is a Professor and serves as the Head of the School of Computer Science at the University of Auckland. Dr. Russello has made significant contributions to the field of cybersecurity. Notably, he holds the position of Director of the Cyber Security Research Programme, a prestigious project funded by MBIE. Prof. Russello is the founding Co-Director of the Cyber Security Foundry.

Prof. Russello seeks to address critical challenges in the field and develop practical solutions to protect individuals, organisations, and systems from cyber threats.

Husain Al-Badry - Husain is a purpose and impact oriented technology leader, people connector, and capability builder. He has spent the past decade pushing Datacom into new spaces and places, helping shape and build Datacom’s strategy, design, and innovation capabilities. He has also helped organisations use emerging technologies like AI and Mixed Reality to re-imagine experiences and uplift productivity. Husain is also an early stage startup advisor both in NZ and overseas, and holds governance roles at organisations that support more equitable and inclusive health and education outcomes.

Madeline Newman - Madeline joined the AI Forum as Executive Director in 2022. She has extensive experience in strategy, transformational change and helping people to see the potential that innovative technologies bring and is excited to be leading the AI Forum of New Zealand as Executive Director at such a pivotal time.
Originally from New Zealand, Madeline spent 20 years working with AI and Tech in mental health, financial services and regulatory sectors in the UK Her more recent work included helping to shape and deliver the Financial Conduct Authority’s internationally renowned RegTech innovation programme; and Head of Innovation and Product for a science based digital mental health service. She brings new thinking and international perspective to our AI community.

Mahsa McCauley - Dr Mahsa McCauley is a Senior Lecturer and Director of Women in Tech in AUT’s School of Computer, Engineering, and Mathematical Sciences. She is a well-recognised leader in AI and machine learning and is also the founder of the charitable trust She Sharp, a women’s technology networking and learning group, where she works to encourage young New Zealand girls to consider what a career in technology offers.
She was named winner of the Emerging Leader category in the 2013 Westpac Women of Influence Awards and was one of ten finalists for 2018 Kiwibank New Zealander of the Year. In 2019 she was the Champion Award winner of the YWCA Equal Pay awards, and in 2020 presented with the Massey University Distinguished Alumni Award.

Yun Sing Koh - Dr Yun Sing Koh is an Associate Professor at the School of Computer Science, The University of Auckland, New Zealand. Her primary research area is Artificial Intelligence (AI) and Machine Learning (ML). Yun Sing is passionate about utilising machine learning for social good, and her research has been applied to interdisciplinary applications in environmental and health domains. She leads the Advanced Machine Learning and Data Analytics Research (MARS) Lab and serves as the Director of the Centre for Machine Learning for Social Good at the University of Auckland.