Financial Services Institutions (FSIs) manage billions of dollars worth of transactions per day and are increasingly adopting AI solutions to process these transactions. In particular, the MIT Technology Review Insights found that businesses in the Asia-Pacific region are quicker to adopt AI systems than any other part of the world. However, when not thoughtfully designed, AI systems can introduce new unintended harms and perpetuate or reinforce existing disadvantages, which in turn can create reputational, operational, and legal risks for businesses.

For example, soon after launching its credit card partnership with Goldman Sachs last year, Apple had to investigate its system


co-authored with Claudel Rheault

Heading into its 2020 conference, NeurIPS announced a new submission requirement: a statement of the work’s potential broader impact. In the research community, some welcomed the change and had been advocating for researchers to take on more responsibility earlier in the AI development stage. Others were confused or frustrated about the requirement and its framing. In short, there was a lot to unpack. So, we decided to dig deeper into researchers’ perspectives on this new requirement.

Discussion on the societal impacts of AI has been ongoing, and momentum has been building, but there hasn’t yet been…

Grace Abuhamad

trustworthy AI research @element_ai. former @MIT_IPRI , @NTIAgov , & @ICANN. schooled @MIT - also @Wellesley & @lyceeinter alum. Tweets @Gabuhamad

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