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Το περιεχόμενο παρέχεται από το AI Asia Pacific Institute. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον AI Asia Pacific Institute ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
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#37: Algorithmic Decisions & the Financial Industry

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Το περιεχόμενο παρέχεται από το AI Asia Pacific Institute. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον AI Asia Pacific Institute ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.

In this conversation, we covered many practical recommendations on operationalising ethics of AI, discussed FEAT, Singapore’s framework for the financial industry and arrived at some predictions in relation to what’s next for the industry.

David Hardoon is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines, Chair of Data Committee at Aboitiz Group and acting in capacity of Managing Director for Aboitiz Data Innovation. He is also an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB) and to Singapore's Central Provident Fund Board (CPF).

Prior to his current roles, David was Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group. In these roles he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as driving efforts in promoting open cross-border data flows. David pioneered the regulator and central bank adoption of data science as well as establishment of the Fairness, Ethics, Accountability and Transparancy (FEAT) principles, first-of-a-kind guidelines for adopting Artificial Intelligence in the financial industry, as well as establishing the MAS-backed Veritas consortium.

…..

Hardeep Arora has around 21yrs of experience in Analytics and Data Science Technology in Financial Services. He is based out of Singapore and is heading the AI Research and Engineering at a social media startup called Aaqua where he is building their AI infrastructure and engineering team. Hardeep was the head of AI in FS @ Element AI, where he worked on numerous client engagements, including MAS Veritas Phase 1. He also did a brief stint in Accenture Singapore where he setup an AI Lab focusing on Financial Services use-cases. He also spent more than a decade working in AI and Analytics teams in banks including Standard Chartered, JP Morgan, and Barclays.

Hardeep has a graduate degree in Computer Science and MBA in Finance, he is AI advisor for few startups in the region, and a regular speaker at events in Singapore.

***

For show notes and past guests, please visit https://aiasiapacific.org/podcast/

If you have questions, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.

  continue reading

57 επεισόδια

Artwork
iconΜοίρασέ το
 
Manage episode 312466896 series 3154917
Το περιεχόμενο παρέχεται από το AI Asia Pacific Institute. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον AI Asia Pacific Institute ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.

In this conversation, we covered many practical recommendations on operationalising ethics of AI, discussed FEAT, Singapore’s framework for the financial industry and arrived at some predictions in relation to what’s next for the industry.

David Hardoon is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines, Chair of Data Committee at Aboitiz Group and acting in capacity of Managing Director for Aboitiz Data Innovation. He is also an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB) and to Singapore's Central Provident Fund Board (CPF).

Prior to his current roles, David was Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group. In these roles he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as driving efforts in promoting open cross-border data flows. David pioneered the regulator and central bank adoption of data science as well as establishment of the Fairness, Ethics, Accountability and Transparancy (FEAT) principles, first-of-a-kind guidelines for adopting Artificial Intelligence in the financial industry, as well as establishing the MAS-backed Veritas consortium.

…..

Hardeep Arora has around 21yrs of experience in Analytics and Data Science Technology in Financial Services. He is based out of Singapore and is heading the AI Research and Engineering at a social media startup called Aaqua where he is building their AI infrastructure and engineering team. Hardeep was the head of AI in FS @ Element AI, where he worked on numerous client engagements, including MAS Veritas Phase 1. He also did a brief stint in Accenture Singapore where he setup an AI Lab focusing on Financial Services use-cases. He also spent more than a decade working in AI and Analytics teams in banks including Standard Chartered, JP Morgan, and Barclays.

Hardeep has a graduate degree in Computer Science and MBA in Finance, he is AI advisor for few startups in the region, and a regular speaker at events in Singapore.

***

For show notes and past guests, please visit https://aiasiapacific.org/podcast/

If you have questions, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.

  continue reading

57 επεισόδια

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