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IBM

How IBM’s New Tools Make AI Models More Reliable and Safer to Use

By Advanced AI EditorAugust 1, 2025No Comments2 Mins Read
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Tech giant IBM (IBM) is building new open-source tools in order to make large language models more reliable and safer to use. Indeed, these tools are designed to fix common problems like hallucinations (false information), contradictions, and “jailbreak” attacks that bypass safety rules. One of the main toolkits, called In-Context Explainability 360 (ICX360), helps developers see how an AI arrives at its answers. It includes MExGen, which highlights the words or phrases in a prompt that most influence the AI’s response, and CELL, which rephrases questions to expose when the model might give contradictory answers. These features make it easier to spot trigger words that could cause mistakes.

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Another important tool, FactReasoner, is focused on fact-checking AI responses. It breaks long answers into individual claims and checks each one against multiple outside sources. It then weighs conflicting information to create an overall accuracy score. This process works similarly to how humans review evidence and helps identify which parts of an answer might be wrong. Interestingly, IBM co-developed FactReasoner with NASA in order to help fact-check scientific content for researchers and the public, and in testing, it performed better than many existing fact-checking systems.

IBM is also introducing defenses against jailbreak attacks, which use tricky prompts to override an AI’s safety features and make it give harmful answers. Their tool spots words that are most likely to trigger unsafe responses and stops them without affecting the AI’s normal performance. In addition, the company plans to release more toolkits soon. This includes AI Steerability 360 for controlling AI behavior, as well as privacy tools that protect sensitive information during use.

Is IBM a Buy, Sell, or Hold?

Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on seven Buys, four Holds, and one Sell assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $297.33 per share implies 16.4% upside potential.

See more IBM analyst ratings

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