As Wall Street bets big on AI, state’s consumers must be protected – Marin Independent Journal

I spent several months combing through the U.S Patent and Trademark Office to see how the world’s most powerful investment banks are incorporating artificial intelligence, and it’s a scary glimpse into the future.

JPMorgan has applied for a trademark called “Index GPT” that would give financial advice, and one that would match companies with investors. Goldman Sachs is seeking to patent AI that will combine all the data a trader would need to predict stock prices, and another to predict a hedging portfolio. Already, ING Group is screening for potential defaulters.

There is even AI to translate “Fedspeak” so banks can tell if statements by regulators are “dovish” or “hawkish.”

Banks are pouring billions of dollars into AI research, patents and financing without adequate safeguards. A lot of attention is devoted to tech companies developing artificial intelligence, but Wall Street banks are just as interested. Financial services spending on AI is larger than any other industry, exceeding even the tech industry.

There is still little we know about generative AI. Even engineers and coders don’t understand how AI works. Unlike previous models, OpenAI decided not to disclose the training data of GPT-4. ChatGPT has scraped the Internet for over 300 billion words, and there are concerns that it has sucked up personal information along the way. In addition, OpenAI says its language model has a “high risk of economic harm” due to a “tendency to hallucinate,” and should come with “a disclaimer.”

Despite these concerns, JPMorgan said that data and AI will be “critical” to the company’s future success. It currently has more than 300 use cases for AI in production.

But the lack of transparency surrounding AI and its potential for bias means mysterious AI could push risky investments and loans, or hallucinate bad advice on managing debt without a consumer even knowing it was AI.

Without sound regulation, the next financial crisis could be caused by AI, igniting in the mortgage or equity market due to a handful of banks relying on the same algorithms. Don’t just take it from me. Much smarter people like Gary Gensler, chair of the U.S. Securities and Exchange Commission, predicted that within 10 years AI will be responsible for some sort of financial crisis.

The major concerns are algorithmic complexity, a lack of transparency and biased or false information. For example, Goldman’s AI could be used to create and price out a new type of derivative. These complicated financial instruments enabled Wall Street to gamble with billions of dollars on the housing market. As a result, 6 million Americans lost their homes during the Great Recession.