Unravelling Machine Learning: Technical Challenges and Ethical Minefields

Presentation 1: Delivering personalised property recommendations in real-time

Developing a real-time personalisation system for property listing recommendations is challenging. The focus extends beyond AI/ML model training to encompass data engineering and data integration. The dynamic nature of property listings (new properties being listed and properties being sold), combined with evolving user behaviour while browsing through properties, demands real-time personalisation of listings.

In this session, Kamal will share the characteristics of recommendation systems driven by machine learning, delve into the associated engineering challenges and reflect on how to deliver a successful end-to-end implementation.

Speaker Bio

Kamal Hossain has more than nine years of experience in cloud-based, scalable, end-to-end AI/ML system design, AI/ML model development and data engineering. Currently, he is working with CMD Solutions (Mantel Group) as Lead Data Consultant. Kamal's other recent roles include Machine Learning Engineer, BHP and Lead of Data Science & AI, PropertyGuru Group, Singapore.

Presentation 2: Designing Responsible Human-Centric Data Science Solutions

Automated systems have caused vast amounts of harm around the world. An Australian example of this is the "Robodebt" scheme, which has been described as a "shameful chapter" and a "massive failure in public administration" leading to $1.2b of compensation and a Royal Commission.

How do we stop this from happening again?

This talk will focus on the principles and practical steps to implementing human-centric, responsible data science solutions and explore the concepts relating to algorithmic decision making with a focus on fostering responsible and ethical implementations.

David will highlight the importance of human judgement and accountability in algorithmic processes, urging caution when deploying fully automated systems, delving into the principles of fairness, dignity, and justice, with a focus on equitable outcomes for vulnerable groups.

Speaker Bio

David Smith is a passionate technology professional with a diverse background in architectural and computational design, software development, and data science. Holding a Master of both Architecture and Data Science from UWA, David has a proven track record of leveraging his unique skill set to solve complex problems, drive innovation, and bridge industry silos to generate value for companies.

Currently working as the Programs and Digital Executive at the Centre for Entrepreneurial Research and Innovation, a non-profit organisation focused on commercialising deep technology research, David utilises his expertise in digital technologies, innovation, and communication to empower industries of the future.

RSVP

RSVP via the event page at Meetup.com is essential.

Refreshments provided from 5.30pm with the presentation starting at 6pm.