Money, markets and machine learning: Unpacking the risks of adversarial AI

The use of machine learning in algorithmic trading poses a risk of adversarial attacks, which can manipulate the input data and lead to incorrect predictions, highlighting the need for robust defenses to ensure the security and integrity of the financial system.

thehill.com

Relevant topic timeline:

8/24/2023

AI on Wall Street: Trading Genius or Just Aspiring Newbie? - TipRanks.com

Artificial intelligence (AI) has made significant strides in the financial markets, but its capabilities are not yet advanced enough to completely replace human involvement in investment and trading decisions. AI can analyze data and spot patterns, but it lacks the ability to anticipate unforeseen events and understand human emotions, making it necessary for humans to provide context and make decisions based on a broader picture.

8/31/2023

How AI analysis can change finance and crypto trading

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Power of AI in Crypto: 10 Strategies to Maximize Your Profits

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Journalist Challenges AI to Crypto Trading Face-Off

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How AI is Transforming Fraud Detection and Cybersecurity in Banking

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9/14/2023

Crypto Trading Dominated by AI Despite Low Volatility, But Oversight Still Needed

The use of AI in algorithmic trading is increasing, with models like ChatGPT being utilized for interpreting market trends and indicators, supporting traders with risk factors and investment opportunities in the cryptocurrency market. There is growing demand for AI and machine learning tools among retail traders, who believe they can enhance trading by detecting patterns and predicting price movements. However, while AI offers benefits, human traders remain crucial in the decision-making process and need to work in collaboration with AI tools to achieve the best outcomes.

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Posted 8/30/2023, 4:00:00 PM