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Aspect Capital co-founder Martin Lueck says hedge funds should not rely on AI they cannot explain, even as more firms use machine learning in trading.
In short: Some hedge fund leaders are pushing back on letting AI make trading decisions when humans cannot clearly explain why.
Martin Lueck, a co-founder of the quantitative investing firm AHL and the president and co-founder of hedge fund Aspect Capital, warned against handing over investment decisions to artificial intelligence. He told the Financial Times that his firm needs to understand why a computer model is recommending certain trades.
Aspect manages about $9 billion. Lueck said he does not want to risk his name or his firm’s reputation on positions he cannot explain. He compared older quant models to a “black box”, meaning investors could not see what was driving decisions.
His comments come as more hedge funds and trading firms use AI and “machine learning” (software that finds patterns from past data, a bit like learning by example). Billionaire Cliff Asness, founder of AQR, previously told the FT his firm was “surrendering more to the machines”. Asness said some patterns his systems use are hard for researchers to explain, but he believes the approach is worth it.
Lueck said AI can still be useful. He pointed to large language models, which are AI systems that work with text, as tools that can help researchers organize data, run tests, and prepare presentations. But he said researchers should still start with a clear idea of what they are trying to find, rather than asking a system to scan data and discover relationships on its own.
Investors may increasingly ask funds to show clearer explanations for AI-driven trades, especially during losing periods. The debate is likely to center on trust and accountability, not just performance.
Source: Financial Times