Showing posts with the label Black Box AI

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AISHE (Part 3/3): Challenges and risks of an innovative trading system

(toc) #title=(Table of Contents) AISHE is an exciting tool for anyone who wants to actively participate in the financial market. However, as with any technology, it has some downsides. The complex algorithms that power AISHE are a black box for many users. This means it can be difficult to understand the system's decisions and why certain trades are executed.   Another risk lies in the dependence on data. Incorrect or incomplete data can lead to incorrect decisions. Furthermore, the use of AI-based trading systems raises ethical questions. How do algorithms influence the markets? Who bears responsibility for incorrect decisions?   Despite these challenges, AISHE offers great potential. To fully exploit this potential, it is important to understand the risks and take appropriate precautions. This includes a critical approach to the system's results.   The challenges of AISHE AISHE: The "Black Box" Effect   Transparency: The "black box" eff...