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At the AI's discretion
Manage episode 289360497 series 2803112
תוכן מסופק על ידי Matthew Lavy and Iain Munro. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Matthew Lavy and Iain Munro או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
Where a contract confers a discretion on one party that materially affects the rights of its counterparty, the discretion must be exercised rationally. The Supreme Court held in Braganza v BP Shipping Ltd [2015] UKSC 17 that exercising a discretion rationally involves (i) taking the right things (and only the right things) into account, and (ii) avoiding a decision that no reasonable decision-maker could have reached. In this episode, we explore how those principles might operate in the context of a discretion exercised automatically by a machine learning algorithm. We do so in the context of a fraud detection algorithm and an online farmers' market somewhere in East Anglia.
Further reading:
- This episode was inspired by Tom Whittaker's thought-provoking article on the case of TF Global Markets (UK) (trading as ThinkMarkets)) v Financial Ombudsman Service Limited [2020] EWHC 3178 (Admin). The article may be found here: https://www.lexology.com/library/detail.aspx?g=ad5569ea-af1a-4040-b596-a6a29b3c73b0
- Supreme Court decision in Braganza v BP Shipping Ltd [2015] UKSC 17: https://www.supremecourt.uk/cases/uksc-2013-0099.html
- Anyone with any doubts as to the prevalence of AI-based fraud detection systems might like to do this: https://letmegooglethat.com/?q=ai+fraud+detection. There is no problem in principle with using such tools. The issue (in a contractual context) is how their outputs are translated into discretionary decisions.
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