Remove paper facial-recognition-systems
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When AI Systems Fail: Introducing the AI Incident Database

Partnership on AI

Governments, corporations, and individuals are increasingly deploying intelligent systems to safety-critical problem areas, such as transportation, energy, health care, and law enforcement, as well as challenging social system domains such as recruiting. Avoiding repeated AI failures requires making past failures known.

Law firms 143
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Philanthropy’s Crucial Role in Advancing Inclusive AI

Partnership on AI

Share Our Blog / Blog Other Philanthropy’s Crucial Role in Advancing Inclusive AI PAI Staff April 11, 2024 Content Wrapper Click here to start editing --> Content Row Click here to start editing --> The development and use of AI systems is multifaceted and evolving.

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The most valuable AI use cases for business

IBM Business Partners

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately.

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From Affirmative Action to Affirmative Algorithms: The Legal Challenges Threatening Progress on Algorithmic Fairness

Partnership on AI

A central concern with the rise of artificial intelligence (AI) systems is bias. Affirmative action was rooted in the belief that facially neutral policies would be insufficient to address past and ongoing discrimination. Algorithmic Affirmative Action: Traditional Technical Approaches to Mitigating Algorithmic Bias.

Legal 98
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Co-Creating the Future of Responsible AI: Reflections from the All Partners Meeting

Partnership on AI

Workshops, panels, and discussions addressed the complex issues surrounding fairness, transparency and explainability in AI systems, as well as the challenges of identifying, prescribing, and operationalizing best practices. Panel on Enhancing Transparency in Machine Learning Through Documentation.

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Operationalizing responsible AI principles for defense

IBM Business Partners

IBM also has its own frameworks for use of AI within IBM itself, informing policy positions such as the use of facial recognition technology. ” Operationalize traceability by providing clear guidelines to all personnel using AI: Always make clear to users when they are interfacing with an AI system.

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Industry and Civil Society Organizations Demystify Facial Recognition Systems

Partnership on AI

Partnership on AI’s “Understanding Facial Recognition Systems” establishes a common language to inform discussions on the role of facial recognition systems. The paper is accompanied by an interactive graphic to illustrate what facial recognition systems are and how they work.