Unite.AI
OCTOBER 20, 2023
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
AI News
APRIL 25, 2024
Ensuring responsible AI development Jablokov strongly advocates for new regulatory frameworks to ensure responsible AI development and deployment. As AI’s domain rapidly expands from narrow applications to more general capabilities, addressing the ethical risks will become only more critical.
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Analytics Vidhya
SEPTEMBER 13, 2024
State-of-the-art large language models (LLMs) and AI agents, are capable of performing complex tasks with minimal human intervention. With such advanced technology comes the need to develop and deploy them responsibly. This article is based […] The post How to Build Responsible AI in the Era of Generative AI?
IBM Journey to AI blog
MAY 31, 2024
The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. Generative AI can revolutionize tax administration and drive toward a more personalized and ethical future.
IBM Journey to AI blog
JULY 16, 2024
In the era of generative AI, the promise of the technology grows daily as organizations unlock its new possibilities. However, the true measure of AI’s advancement goes beyond its technical capabilities. To do that, organizations need to develop an AI strategy that enables them to harness AI responsibly.
Unite.AI
MAY 13, 2024
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.
IBM Journey to AI blog
JANUARY 3, 2024
How can we proactively invest in AI for more equitable and trustworthy outcomes? Using generative AI requires AI governance, including conversations around appropriate use cases and guardrails around safety and trust (see AI US Blueprint for an AI Bill of Rights, the EU AI ACT and the White House AI Executive Order).
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