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

Unite.AI

AI is becoming a more significant part of our lives every day. But as powerful as it is, many AI systems still work like black boxes. 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. We dont need to be an AI expert to use it.

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Explainable AI Using Expressive Boolean Formulas

Unite.AI

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. While AI exists to simplify and/or accelerate decision-making or workflows, the methodology for doing so is often extremely complex. But its growth does not come without irony.

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Data Monocultures in AI: Threats to Diversity and Innovation

Unite.AI

AI is reshaping the world, from transforming healthcare to reforming education. Data is at the centre of this revolutionthe fuel that powers every AI model. In AI, relying on uniform datasets creates rigid, biased, and often unreliable models. Facial recognition is a well-documented example of data monoculture in AI.

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What are Explainability AI Techniques? Why do We Need it?

Analytics Vidhya

Introduction When we talk about AI quality, what do we mean and understand? AI quality has been the backbone in terms of values for the organization. The quality of AI is what matters most and is one of the vital causes of the failure of any business or organization. Why do We Need it?

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Global executives and AI strategy for HR: How to tackle bias in algorithmic AI

IBM Journey to AI blog

The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. A diverse evaluation team consisting of HR, Data, IT, and Legal can be crucial to navigate the evolving regulatory landscape that deals with AI.

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Adding Explainability to Clustering

Analytics Vidhya

Introduction The ability to explain decisions is increasingly becoming important across businesses. Explainable AI is no longer just an optional add-on when using ML algorithms for corporate decision making. While there are a lot of techniques that have been developed for supervised algorithms, […].

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The Role of AI in Gene Editing

Unite.AI

In these fields, gene editing is a particularly promising use case for AI. AI could be the next big step. How AI Is Changing Gene Editing Researchers have already begun experimenting with AI in gene research and editing. AI can identify these relationships with additional precision.