Remove Ethics Remove Evaluation Remove Risk Management
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FBI’s AI work includes ‘Shark Tank’-style idea exploration, tip line use case

FedScoop

To assess AI uses and whether they’re needed, the officials also said the agency is looking to its AI Ethics Council, which has been around for several years. She said the FBI started with a risk assessment in which it analyzed its needs and use cases to assist with acquisition and evaluation. “We

Ethics 129
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Governments need to plan for the entire product lifecycle when they purchase technology today

American City & Country

Cunningham adds that proper training for system operators “must cover not only system operation but also legal and ethical considerations.” Keeping pace with rapid technological advancements, particularly in artificial intelligence (AI) and analytics, while navigating associated legal and ethical challenges can be tricky to navigate.

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It’s Time to Rethink Supply Chain Risk Management

ivalua

To properly assess risk, reduce carbon emissions and avoid ethics violations, leaders must map and assess the multi-tier supply chain. Supplier risk management too often focuses on evaluating the risk level of each supplier and selecting lower risk ones when possible.

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Leveraging Data Analytics in Procurement: Unlocking Efficiency and Strategic Value

Tracker Intelligence

Data-driven decision-making enables procurement teams to improve performance and align with wider organisational goals including corporate social responsibility and risk management. It also provides transparency which encourages compliance with regulatory frameworks and positive ethical procurement practices.

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Why are KPIs Important in Procurement?

Oxford College of Procurement and Supply

KPIs are key performance indicators and are a way in which procurement professionals can understand and evaluate a supplier’s ability to meet their contractual obligations. Early indication in this situation would be key to risk management. KPIs also motivate suppliers.

Import 59
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Government gears up to embrace generative AI

FedScoop

The top concerns related to the risks of using generative AI include a lack of controls to ensure ethical/responsible information generation, a lack of ability to verify/explain generated output and potential abuse/distortion of government-generated content in the public domain.

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Natural Intelligence: NIST Releases Draft Guidelines for Government Contractor Artificial Intelligence Disclosures

Government Contracts Legal Forum

In identifying concerns for digital identity risk management, NIST focuses on three main concerns: identity proofing, authentication, and federation level. Organizations using AI and ML systems must implement the NIST AI Risk Management Framework to evaluate risks and must consult SP1270 for managing bias in AI.