Analytics Vidhya

DECEMBER 20, 2023

This comprehensive strategy mainly aims to measure and forecast potential risks associated with AI development. Meanwhile, it also emphasizes OpenAI’s commitment to halt deployment and development if safety mitigations fall behind.

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Unite.AI

OCTOBER 20, 2023

Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency.

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AI News

OCTOBER 24, 2024

The government’s commitment to supporting AI is evident through significant investments. In 2022, the UK government unveiled a National AI Strategy and Action Plan—committing over £1.3 ” AI Safety Summit: The AI Safety Summit at Bletchley Park highlighted the need for responsible AI development.

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AI Weekly

JUNE 29, 2023

mit.edu Ethics AI ChatGPT Responds to UN’s Proposed Code of Conduct to Monitor AI Achieving a global consensus on the specifics of the code of conduct might be challenging, as different countries and stakeholders may have differing views on AI development, applications, and regulation.

Algorithm 187

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AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

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ODSC - Open Data Science

MARCH 5, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. To do this, governments are harnessing AI in two primary ways.

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Unite.AI

OCTOBER 1, 2024

For example, they can invest in AI systems that are energy-efficient, scalable, and capable of evolving with technological advancements. Additionally, integrating sustainability metrics into AI development and deployment processes can help organizations track their progress and make informed decisions that support long-term objectives.

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