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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

However, the latest CEO Study by the IBM Institute for the Business Value found that 72% of the surveyed government leaders say that the potential productivity gains from AI and automation are so great that they must accept significant risk to stay competitive. Learn more about how watsonx can help usher in governments into the future.

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Responsible AI is a competitive advantage

IBM Journey to AI blog

Prioritizing trust and safety while scaling artificial intelligence (AI) with governance is paramount to realizing the full benefits of this technology. It is becoming clear that for many companies, the ability to use responsible AI as part of their business operations is key to remaining competitive.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Journey to AI blog

As HCLS organizations integrate generative AI into patient care (for example, in the form of automated patient intake when checking into a US hospital or helping a patient understand what would happen during a clinical trial), they should inform patients that a generative AI model is in use. Require transparency.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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OpenAI enhances AI safety with new red teaming methods

AI News

Since then, OpenAI has expanded and refined its methodologies, incorporating automated and mixed approaches for a more comprehensive risk assessment. “We are optimistic that we can use more powerful AI to scale the discovery of model mistakes,” OpenAI stated.

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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning Blog

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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3 key reasons why your organization needs Responsible AI

IBM Journey to AI blog

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic. billion by 2025.