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Western Bias in AI: Why Global Perspectives Are Missing

Unite.AI

Consequently, the foundational design of AI systems often fails to include the diversity of global cultures and languages, leaving vast regions underrepresented. Bias in AI typically can be categorized into algorithmic bias and data-driven bias. A 2023 McKinsey report estimated that generative AI could contribute between $2.6

Algorithm 111
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Qdrant, an open source vector database startup, wants to help AI developers leverage unstructured data

Flipboard

Founded out of Berlin in 2021, Qdrant is targeting AI software developers with an open source vector search engine and database for unstructured data, which is an integral part of AI application development particularly as it relates to using real-time data that hasn’t been categorized or labeled.

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How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs

Marktechpost

Researchers evaluated anthropomorphic behaviors in AI systems using a multi-turn framework in which a User LLM interacted with a Target LLM across eight scenarios in four domains: friendship, life coaching, career development, and general planning. The results identified relationship-building behaviors that evolved with dialogue.

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ElevenLabs Charts New Course in AI Voice With $80M Funding Round

Unite.AI

This extensive collection, categorized for specific purposes like narration or expressiveness, is a testament to the platform's versatility. Its voice cloning feature, in particular, represents a significant leap in AI voice technology.

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Will the EU’s AI Act Set the Global Standard for AI Governance?

Unite.AI

Risk-Based Categorization of AI Technologies Central to the Act is its innovative risk-based framework, which categorizes AI systems into four distinct levels: unacceptable, high, medium, and low risk.

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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. This analysis helps pinpoint specific areas that need improvement.

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Table of Content

Towards AI

Our journey will progress into its application in AI, leading to the identification of pivotal stakeholders in AI Governance. In Part 2, we’ll delve deeper into analyzing, categorizing, and prioritizing stakeholders in AI Governance, and more. Without further ado, Let us embark on the first phase of this insightful guide.