Ethics Alliance Event - Can we trust AI to make our decisions? - Melbourne

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Macquarie Bank

Level 23

101 Collins Street

Melbourne, VIC 3000

Australia

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Already we’re outsourcing many of our key business decisions to Artificial Intelligence - from data extraction to retail analysis to recruitment. Some we’re aware of, others may surprise you. As organisations that care about raising the standards of business, how can we be sure of the ethical integrity of the technologies we employ?

The increased use of AI has real potential to further embed biases - notably age, gender and race - within the systems we rely on. Between 2014 and 2017 Amazon tried to build an algorithmic system to analyze resumes and suggest the best hires. An anonymous Amazon employee called it the “holy grail” if it actually worked.

But it didn’t. After the company trained the algorithm on 10 years of its own hiring data, the algorithm reportedly became biased against female applicants. The word “women,” like in women’s sports, would cause the algorithm to specifically rank applicants lower. After Amazon engineers attempted to fix that problem, the algorithm still wasn’t up to snuff and the project was ended.

What responsibilities do organisations have for the ethical integrity of the technologies they employ? And how might these obligations be discharged?

Speakers:

Dr Bridget Bainbridge
Founder of Bainbridge Associates

Bridget’s background in information policy and regulation extends over twenty years. She has developed of a number of pieces of Australian privacy legislation and shaped the National Privacy Principles, the forerunner to the Australian Privacy Principles.

Bridget founded Bainbridge Associates, a data protection advisory enterprise, in 2010. As an adviser to both public and private sector organisations she has worked in complex multi-disciplinary environments to align information systems with information regulation. This has encompassed privacy risk management, privacy by design, information governance, biometrics, identity, advanced data analytics, AI, trust by design and data ethics. Bridget’s specific domain experience includes the health, human services, education and law enforcement sectors.

Tiberio Caetano
Chief Scientist Gradient Institute

Tiberio has spent the last 20 years working on machine learning in numerous roles as a student, researcher, academic, entrepreneur and practitioner; collaborating with individuals and organisations across the world. He believes the path to a more ethical world is through a deeper understanding of the cause and effect relationships between actions and wellbeing.

In 2012 he co-founded Ambiata which empowers large B2C companies to drive mass personalisation via artificial intelligence and machine learning software. As Chief Scientist he led the design of decision-making algorithms that have touched millions of consumers across several industries, including banking, telecommunications, media, insurance, and retail.

Nicolas Hohn
Chief Data Scientist QuantumBlack Australia

Nicolas is a Senior Expert at McKinsey, and the Chief Data Scientist for QuantumBlack Australia, a McKinsey boutique subsidiary focusing on advanced analytics and artificial intelligence. He supports organisations on their analytics journeys by providing thought leadership and expertise across data science and key enablers such as talent and technology.

Prior to joining Digital McKinsey in 2016, Nicolas worked as Director of Analytics for a Big Data analytics start-up in California and held quantitative trader positions in hedge funds. Nicolas holds a PhD in statistical signal processing and a MSc in neuroscience from the University of Melbourne.

Collette Marais
Senior Data Scientist, Telstra

Collette is a senior data scientist at Telstra, where she works on analytical projects to inform decision-making and strategic actions on Australia’s leading Big Data platform. She is experienced in advanced machine learning techniques, applied to a wide variety of data, including web-based, text, and customer behavioural data.

Prior to her current role Collette was part of a consulting team at Deloitte working on implementing best analytical practices at Australia's largest institutions, including creating end-to-end analytical lifecycle processes which includes hypothesis formation, datasourcing and feature creation, model building, and operationalising models for production. She has also held a position within Quantium.

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Light refreshments will be served.

Date and Time

Location

Macquarie Bank

Level 23

101 Collins Street

Melbourne, VIC 3000

Australia

View Map

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