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In a pioneering move, Commonwealth Bank is extending a helping hand to financial institutions worldwide in the fight against technology-facilitated abuse. The bank has made its cutting-edge artificial intelligence (AI) and machine learning techniques available at no cost, to any bank around the globe.
This AI model is designed to pinpoint digital payment transactions that contain harassing, threatening, or offensive messages, commonly referred to as technology-facilitated abuse.
Angela MacMillan, CBA Group Customer Advocate, emphasized the significance of addressing financial abuse, stating,
The technology was developed after identifying instances where customers utilized transaction descriptions as a means of harassment or threats. By utilizing this model, the bank can scrutinize unusual transactional behavior, identifying patterns and flagging instances deemed high risk, enabling timely intervention.
The model successfully identifies approximately 1,500 high-risk cases each year. MacMillan underscored the importance of sharing the source code and model, asserting that this initiative will empower financial institutions worldwide to gain enhanced visibility into technology-facilitated abuse. This, in turn, will enable banks to take informed action to safeguard their customers.
The implementation of this AI model underscores the potential of innovative technology in creating a more secure banking environment, especially for individuals in vulnerable situations. Interested banks can access the model and source code this week through Commonwealth Bank's collaboration with H2O.ai on GitHub, the world's largest platform for hosting source code. The model was developed by CBA, while the source code was created in partnership with their exclusive ally and global AI leader, H2O.ai.
In addition to the AI model, Commonwealth Bank introduced an automatic block filter in 2020 across its digital banking channels, aimed at intercepting transaction descriptions that contain threatening, harassing, or abusive language. Since its implementation, this filter has successfully prevented nearly 1 million such transactions.
To further combat technology-facilitated abuse, the bank has also integrated AI and machine learning techniques to identify more subtle forms of abuse within transactions. Subsequently, the bank can manually review these instances and take appropriate action. This model has been fully operational since its implementation in 2021, detecting over 1,500 cases annually.
Commonwealth Bank's proactive measures exemplify its commitment to leveraging advanced technology to foster a safer banking experience for all customers, particularly those in vulnerable circumstances. The bank's initiative is poised to make a significant impact in the global efforts to combat technology-facilitated abuse in the financial sector.
