Items tagged with "AI"

In the absence of standards, machine-learning reveals climate risks

The Bank of England is undertaking research into voluntary climate-related disclosures of UK financial institutions via machine learning. The research aims to understand asymmetries between firms and investors, look at how disclosure practices differ across firms, and to shed light on the decision of whether to make climate-related reporting mandatory.

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AI use in financial data analysis

The US Financial Accounting Standards Board (FASB) and Governmental Accounting Standards Board (GASB) are looking into the ways in which investors are using artificial intelligence (AI) to consume and analyse financial data.

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Natural Language Processing is here to stay

We found food for thought in a recent article from Irene Liu and team of Accenture, exploring the use of Natural Language Processing (NLP) for regulatory compliance.

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Digital ESG data means richer insights

“The world is grappling with dramatic shifts in climate change, environmental, social, and geopolitical events. In a world of rapid digital transformation, how do companies, investors, regulators, standard setters, and ordinary citizens respond to these shifts?” asks Christine Tan in a recent guest post at ESG Today.

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Is AI a must to deal with today’s data?

We enjoyed the food for thought offered in a recent opinion piece by Jo Ann Barefoot on the case for placing artificial intelligence (AI) at the heart of digitally robust financial regulation.

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Will AI be as big as the internet? Chair Gensler on the need for dynamic regulation

There is great food for thought in the title of some recent remarks by US Securities and Exchange Commission (SEC) Chair Gary Gensler on ‘Dynamic Regulation for a Dynamic Society.’

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Investor protection and gamification: remarks at ‘SEC Speaks’

The 2021 SEC Speaks event, held on 12–13 October, generated a wide range of comment from staff of the US Securities and Exchange Commission (SEC), covering subjects such as digital assets, private markets, and proactive enforcement.

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SEC’s Gary Gensler on predictive data analytics

We found food for thought on the subject of predictive data analytics this week in remarks by Gary Gensler, Chair of the US Securities and Exchange Commission (SEC), before the SEC’s Asset Management Advisory Committee.

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News Item

XBRL US says AI systems need quality data

Our colleagues at XBRL US have published an interesting comment letter addressing the question of why standardised, machine-readable data is essential for reliable, useful outcomes from artificial intelligence (AI).

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BlackRock on ESG, big data and the double bottom line

“The bottom line about the double bottom line is that investors don’t have to make performance concessions to achieve sustainable outcomes. ESG data is an indicator of future performance potential and should be incorporated into the investment mosaic of all the different types of data that are used to predict performance.”

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