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OpenAI Prepares for Ethical and Responsible AI

Analytics Vidhya

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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With Generative AI Advances, The Time to Tackle Responsible AI Is Now

Unite.AI

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 Weekly - Issue #339: Next DeepMind's Algorithm To Eclipse ChatGPT - Jun 29th 2023

AI Weekly

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 177
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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

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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Where to begin: 3 IBM leaders offer guidance to newly appointed chief AI officers

IBM Journey to AI blog

Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across sectors, the Office of Management and Budget (OMB) released a memo on how federal agencies can seize AI’s opportunities while managing its risks. “Create trustworthy AI development.”

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Predicting the Future of AI Investment in 2024 and Beyond

ODSC - Open Data Science

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.