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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 responsibleAI have taken on greater urgency. Ensure data privacy and security: AI models use mountains of data.
Trust is the foundation of successful AI adoption, yet 43% of surveyed employees in the U.S. and Europe lack confidence in their employers ability to handle AIresponsibly. AI orchestrators are fundamental in building faith by addressing concerns about job security and data transparency.
Critical considerations for responsibleAI 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.
Strategic Planning : The ability to develop comprehensive AIstrategies that align with the company’s vision and goals is essential. This involves assessing market trends and identifying opportunities for AI integration. An effective AIstrategy is a critical component of broader digital transformation efforts.
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 AIstrategies and focusing on how the technology can empower and enhance human capabilities. One key aspect is job design.
Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.
This shift is also leading to new types of work in IT services, such as developing custom models, data engineering for AI needs and implementing responsibleAI. The evolution of AI is promising but also brings many corporate challenges, especially around ethical considerations in how we implement it.
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