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Igor Jablokov, Pryon: Building a responsible AI future

AI News

As artificial intelligence continues to rapidly advance, ethical concerns around the development and deployment of these world-changing innovations are coming into sharper focus. Ensuring responsible AI development Jablokov strongly advocates for new regulatory frameworks to ensure responsible AI development and deployment.

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6 Free Artificial Intelligence AI Courses from Google

Marktechpost

The following six free AI courses offer a structured pathway for beginners to start their journey into the world of artificial intelligence. Introduction to Generative AI: This course provides an introductory overview of Generative AI, explaining what it is and how it differs from traditional machine learning methods.

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Education and Artificial Intelligence: Navigating the Path to Transformation

Flipboard

Artificial intelligence resides at the nexus of education and technology, where the opportunities seem limitless, though uncertain. Over the last few months, EdSurge webinar host Carl Hooker moderated three webinars featuring field-expert panelists discussing the transformative impact of artificial intelligence in the education field.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Journey to AI blog

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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Generative AI: The Future of Artificial Intelligence (AI)

Towards AI

Generative AI involves the use of neural networks to create new content such as images, videos, or text. It also raises ethical concerns around issues such as bias and the potential misuse of generated content. Disclaimer: This article uses Cohere for text generation. What is Generative AI?

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Learn Generative AI With Google

Unite.AI

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. In fact, the Generative AI market is expected to reach $36 billion by 2028 , compared to $3.7 However, advancing in this field requires a specialized AI skillset.

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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.