AI Strategy Responsible AI Webinar 
IBM Journey to AI blog
JANUARY 25, 2024
Adapting to the implications of increased AI adoption could include complying with complex regulatory requirements such as NIST , the EU AI Act , NYC 144 , US EEOC and The White House AI Act , which directly impact HR and organizational policies, as well as social, job skilling and collective bargaining labor agreements.
AI News
JULY 16, 2024
“Sizeable productivity growth has eluded UK workplaces for over 15 years – but responsible AI has the potential to shift the paradigm,” explained Daniel Pell, VP and country manager for UK&I at Workday. ” Despite the optimistic outlook, the path to AI adoption is not without obstacles.
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AI News
OCTOBER 24, 2024
The government’s commitment to supporting AI is evident through significant investments. In 2022, the UK government unveiled a National AI Strategy and Action Plan—committing over £1.3 ” AI Safety Summit: The AI Safety Summit at Bletchley Park highlighted the need for responsible AI development.
AI News
JULY 16, 2024
“Sizeable productivity growth has eluded UK workplaces for over 15 years – but responsible AI has the potential to shift the paradigm,” explained Daniel Pell, VP and country manager for UK&I at Workday. ” Despite the optimistic outlook, the path to AI adoption is not without obstacles.
IBM Journey to AI blog
JULY 26, 2023
Critical considerations for responsible AI adoption While the possibilities are endless, the explosion of use cases that employ generative AI in HR also poses questions around misuse and the potential for bias. As such, HR leaders cannot simply rely on data and AI to make decisions.
IBM Journey to AI blog
JUNE 23, 2023
AI analyzes financial statements, notes, disclosures and other and applicable data, then translates and interprets the data to provide context-rich answers to your questions. Here are some important considerations our F&A experts provided: Start with a sound AI strategy.
Unite.AI
JUNE 17, 2024
For organizations to ensure that AI augments rather than replaces human workers, they need to take a human-centric approach to AI implementation. This means putting people at the heart of their AI strategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.
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