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Generative AI in the Healthcare Industry Needs a Dose of Explainability

Unite.AI

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Balancing innovation and trust: Experts assess the EU’s AI Act

AI News

Curtis Wilson, Staff Data Engineer at Synopsys’ Software Integrity Group , believes the new regulation could be a crucial step in addressing the AI industry’s most pressing challenge: building trust. “The greatest problem facing AI developers is not regulation, but a lack of trust in AI,” Wilson stated.

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Bridging code and conscience: UMD’s quest for ethical and inclusive AI

AI News

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. Canavotto and her colleagues, Jeff Horty and Eric Pacuit, are developing a hybrid approach to combine the best of both approaches.

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Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy

AI News

Dell’s AI strategy is structured around four core principles: AI-In, AI-On, AI-For, and AI-With: “Embedding AI capabilities in our offerings and services drives speed, intelligence, and automation,” Brackney explained. We believe in a shared, secure, and sustainable approach.

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AI Auditing: Ensuring Performance and Accuracy in Generative Models

Unite.AI

Automated tools can streamline this process, allowing real-time audits and timely interventions. Transparency and Explainability Enhancing transparency and explainability is essential. Tools like IBM's AI Fairness 360 provide comprehensive metrics and algorithms to detect and mitigate bias.

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How the EU AI Act and Privacy Laws Impact Your AI Strategies (and Why You Should Be Concerned)

Unite.AI

Navigating this new, complex landscape is a legal obligation and a strategic necessity, and businesses using AI will have to reconcile their innovation ambitions with rigorous compliance requirements. GDPR's stringent data protection standards present several challenges for businesses using personal data in AI.

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Primate Labs launches Geekbench AI benchmarking tool

AI News

The benchmark offers a unique approach by providing three overall scores, reflecting the complexity and heterogeneity of AI workloads. “Measuring performance is, put simply, really hard,” explained Primate Labs. Geekbench AI 1.0 All workloads in Geekbench AI 1.0

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