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

Unite.AI

AI models in production. 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. In 2022, companies had an average of 3.8

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Igor Jablokov, Pryon: Building a responsible AI future

AI News

In an interview ahead of the AI & Big Data Expo North America , Igor Jablokov, CEO and founder of AI company Pryon , addressed these pressing issues head-on. Pryon’s origins can be traced back to the earliest stirrings of modern AI over two decades ago. “They didn’t greenlight it.

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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

The age of Generative AI (GenAI) is transforming how we work and create. From marketing copy to generating product designs, these powerful tools hold great potential. Let’s look at the growing risk of information leakage in GenAI solutions and the necessary preventions for a safe and responsible AI implementation.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Journey to AI blog

There is a high likelihood that historically underserved communities may use a generative transformer, especially one that is embedded unknowingly into a search engine, to ask for medical advice. How can we proactively invest in AI for more equitable and trustworthy outcomes? What is available over the counter that may work instead?

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What can AI and generative AI do for governments?

IBM Journey to AI blog

Few technologies have taken the world by storm the way artificial intelligence (AI) has over the past few years. AI and its many use cases have become a topic of public discussion no longer relegated to tech experts. AI’s value is not limited to advances in industry and consumer products alone.

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5 key areas for governments to responsibly deploy generative AI

IBM Journey to AI blog

Two critical elements driving this digital transformation are data and artificial intelligence (AI). AI plays a pivotal role in unlocking value from data and gaining deeper insights into the extensive information that governments collect to serve their citizens.

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Decoding Opportunities and Challenges for LLM Agents in Generative AI

Unite.AI

We are seeing a progression of Generative AI applications powered by large language models (LLM) from prompts to retrieval augmented generation (RAG) to agents. Caveats and need for Responsible AI Now what if we have a tool that invokes transactions on stock trading using a pre-authorized API. Sounds exciting!?

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