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French initiative for responsible AI leaders

AI News

” Laetitia Cailleteau, Managing Director at Accenture and leader of Responsible AI & Generative AI for Europe, highlighted the importance of future leaders understanding all aspects of AI. “AI is a pillar of the ongoing industrial transformation.

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Building Responsible AI with Guardrails AI

Analytics Vidhya

To protect against these […] The post Building Responsible AI with Guardrails AI appeared first on Analytics Vidhya. However, people are increasingly using ChatGPT and other LLMs, which may provide prompts with personal identifiable information or toxic language.

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OpenAI Prepares for Ethical and Responsible AI

Analytics Vidhya

With this proactive approach, OpenAI aims to […] The post OpenAI Prepares for Ethical and Responsible AI appeared first on Analytics Vidhya. Meanwhile, it also emphasizes OpenAI’s commitment to halt deployment and development if safety mitigations fall behind.

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Exploring Responsible AI: Insights, Frameworks & Innovations with Ravit Dotan

Analytics Vidhya

Ravit Dotan’s diverse background, including a PhD in philosophy from UC Berkeley and her leadership in AI ethics at Bria.ai, uniquely positions her to offer profound insights into responsible AI practices.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

📆 October 22nd, 2024 at 9:30 AM PDT, 12:30 PM EDT, 5:30 PM BST

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning Blog

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.