Remove about diversity-and-inclusion
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The diversity dividend: How inclusive businesses gain competitive advantage

IBM Journey to AI blog

Companies with diverse workforces are better positioned to deliver truly customer-centric experiences to all consumers. Companies that prioritize a deep understanding of the needs and preferences of culturally diverse global consumers gain a competitive edge. How can tech companies effectively embrace diversity?

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Google pledges to fix Gemini’s inaccurate and biased image generation

AI News

Google’s Gemini model has come under fire for its production of historically-inaccurate and racially-skewed images, reigniting concerns about bias in AI systems. In response to the backlash, Jack Krawczyk, the product lead for Google’s Gemini Experiences, acknowledged the issue and pledged to rectify it.

Big Data 241
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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Journey to AI blog

Successful clinical studies hinge on efficiently recruiting and retaining diverse participants. In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements.

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OpenAI chooses Tokyo for its first Asian office

AI News

The Japanese government’s role as a leading voice in AI policy – especially after chairing the Hiroshima AI Process – aims to foster AI development aligned with human dignity, diversity, and inclusion, and sustainable societies.

OpenAI 286
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Using Speech AI & Accent Softening to Transform the Future of Work

Unite.AI

We live in a world where the diversity of human culture and language converges, yet, a fundamental human challenge persists: the struggle to communicate across the mosaic of global accents. One common complaint about generated speech is that it often sounds robotic. Naturalness. Complexity of accent. the melody of the speech).

Robotics 124
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The State of Multilingual LLMs: Moving Beyond English

Unite.AI

BLOOM BLOOM is an open-access multilingual LLM that prioritizes diverse languages and accessibility. With 176 billion parameters, BLOOM can handle tasks in 46 natural and 13 programming languages, making it one of the biggest and most diverse LLMs. Enter Multilingual LLMs! What are Multilingual LLMs? How do Multilingual LLMs Work?

LLM 317
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Navigating the Misinformation Era: The Case for Data-Centric Generative AI

Unite.AI

While these platforms offer a wealth of information and promote inclusivity, they lack the rigorous peer-review of traditional academic or journalistic sources. This approach emphasizes the quality, diversity, and integrity of the data used in training AI models. Training generative AI on flawed data has serious repercussions.