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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. Imagine an AI predicting home prices.

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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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AI and Financial Crime Prevention: Why Banks Need a Balanced Approach

Unite.AI

Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators. Financial institutions are also under increasing pressure to use Explainable AI (XAI) tools to make AI-driven decisions understandable to regulators and auditors.

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The Importance of Implementing Explainable AI in Healthcare

ODSC - Open Data Science

Healthcare systems are implementing AI, and patients and clinicians want to know how it works in detail. Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. What Is Explainable AI?

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Who Is Responsible If Healthcare AI Fails?

Unite.AI

When the Patient Is at Fault What if both the AI developer and the doctor do everything right, though? When the patient independently uses an AI tool, an accident can be their fault. AI gone wrong isn’t always due to a technical error. It can be the result of poor or improper use, as well.

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Seven Trends to Expect in AI in 2025

Unite.AI

By leveraging multimodal AI, financial institutions can anticipate customer needs, proactively address issues, and deliver tailored financial advice, thereby strengthening customer relationships and gaining a competitive edge in the market. External audits will also grow in popularity to provide an impartial perspective.

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AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

For example, AI-driven underwriting tools help banks assess risk in merchant services by analyzing transaction histories and identifying potential red flags, enhancing efficiency and security in the approval process. While AI has made significant strides in fraud prevention, its not without its complexities.