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What can AI and generative AI do for governments?

IBM Services

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

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5 key areas for governments to responsibly deploy generative AI

IBM Services

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. 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.

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4 strategic sourcing use cases to strengthen your supply chain

IBM Services

For sourcing teams, that means pivoting their mindset around selecting suppliers from a tactical, lowest-cost-above-all approach to a strategic one. Where tactical sourcing is a short-term strategy, strategic sourcing is for long-term business goals. And from that group, 71% would pay a premium for it.

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Why data governance is essential for enterprise AI

IBM Business Partners

However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves. Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators.

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How governments can improve digital experiences for citizens

IBM Services

Modernizing governing bodies worldwide is a pressing need and includes a growing obligation to provide accessible and transparent digital experiences for all citizens to address the inefficiencies and limitations of legacy systems. Over time, these systems expand organically, and upgrading or extracting them becomes increasingly challenging.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Services

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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NYC puts AI on notice: How a new HR regulation in NYC is impacting global processes

IBM Services

Organizations sourcing, screening, interviewing, hiring or promoting individuals in New York City are required to conduct yearly bias audits on automated employment decision-making tools as per New York City Local Law 144 , which was enacted in December 2021. and other states are also proposing algorithmic HR regulations.