Jekyll2026-04-16T13:06:49+00:00https://ricardo.chavarriaga.me/feed.xmlRicardo ChavarriagaRicardo ChavarriagaRicardo ChavarriagaA survey of artificial intelligence risk assessment methodologies2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/report/A-survey-of-artificial-intelligence-riskThis report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading practices, and (2) to inform rulemaking on AI risk assessment. The survey covers: legal and regulatory approaches, current work at international bodies, work by standards development organizations, industry approaches and prominent approaches proposed in civil-society and academic literature.

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Source: Ernest & Young LLP - Trilateral Research

Ethical Principles: Multiple Ethical Dimentions
SDGs: N/A
]]>Ricardo ChavarriagaAI Asessment catalog2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/assessment%20tool/AI-Asessment-catalogThe AI assessment catalog of Fraunhofer IAIS offers a structured guideline that can be used to concretize abstract quality standards into application-specific assessment criteria.

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Source: Fraunhofer Institute

Ethical Principles: Multiple Ethical Dimentions
SDGs: N/A
]]>Ricardo ChavarriagaAI Ethics Reading List2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/suggested%20readings/AI-Ethics-Reading-ListThis is a compilation of books, papers, and resources that AI Ethicists recommend to help you manage your AI initiatives responsibly or to in general get to know AI ethics better. Thanks to all who have helped compile the list. Please consider this a living, ever-evolving list as new AI Ethics works come forward.

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Source: AI Truth

Ethical Principles: Multiple Ethical Dimentions
SDGs: 17. Partnership for the Goals
]]>Ricardo ChavarriagaAI Incident Database2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/catalog/AI-Incident-DatabaseThe AI Incident Database is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems. Like similar databases in aviation and computer security, the AI Incident Database aims to learn from experience so we can prevent or mitigate bad outcomes.

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Source: The Responsible AI Collaborative

Ethical Principles: Transparency Accountability
SDGs: 17. Partnership for the Goals
]]>Ricardo ChavarriagaAI Standards Hub2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/standard/AI-Standards-HubThe new home of the AI standards community. Dedicated to knowledge sharing, capacity building, and world-leading research, the Hub aims to build a vibrant and diverse community around AI standards.

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Source: Allan Turing Institute

Ethical Principles: Multiple Ethical Dimentions
SDGs: N/A
]]>Ricardo ChavarriagaAI for Cybersecurity and Cybercrime - How Artificial Intelligence Is Battling Itself2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/suggested%20readings/AI-for-Cybersecurity-and-Cybercrime---HoExperts believe that Artificial Intelligence (AI) and Machine Learning (ML) have both negative and positive effects on cybersecurity. AI algorithms use training data to learn how to respond to different situations. They learn by copying and adding additional information as they go along. This article reviews the positive and the negative impacts of AI on cybersecurity.

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Source: IEEE Computer Society

Ethical Principles: Robustness and Safety Privacy and Data Governance
SDGs: N/A
]]>Ricardo ChavarriagaAI regulation: a pro-innovation approach2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/report/AI-regulation--a-pro-innovation-approachThis white paper details our plans for implementing a pro-innovation approach to AI regulation. We’re seeking views through a supporting consultation.

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Source: UK Department for Science, Innovation and Technology

Ethical Principles: Multiple Ethical Dimentions
SDGs: N/A
]]>Ricardo ChavarriagaAtlas of Automation Switzerland2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/catalog/Atlas-of-Automation-SwitzerlandThe Atlas of Automation aims to shed light into this black box. It offers a first directory of examples of algorithmic systems that are used in Switzerland, whether by government agencies or the private sector. It focuses on algorithmic systems that are used in decision-making, thus to predict, recommend, affect or take decisions about human beings, or that generate content used by or on human beings. It does not aim to be comprehensive but rather illustrates the variety of use cases, through which algorithms affect us and our society.

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Source: AlgorithmWatch CH

Ethical Principles: Accountability Transparency
SDGs: 17. Partnership for the Goals 16. Peace Justice and Strong Institutions
]]>Ricardo ChavarriagaCDEI portfolio of AI assurance techniques2023-11-22T00:00:00+00:002023-11-22T00:00:00+00:00https://ricardo.chavarriaga.me/catalog/CDEI-portfolio-of-AI-assurance-techniqueThis page provides details about the CDEI portfolio of AI assurance techniques and how to use it.

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Source: UK Department for Science, Innovation and Technology

Ethical Principles: Multiple Ethical Dimentions
SDGs: N/A
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