The page is open for anyone to create and add resources, we encourage individuals with an interest and experience in the topic to share resources and engage in discussions with the community on this page.
- To collect useful resource around the topic
- To get actors, both individuals and organizations, to find each other
- To share experiences and learn together on how to practically work with Responsible AI in organizations.
- Create engagement and discussions on the topic.
The pace of AI development is extremely high. This brings a strong need for paying close attention to the implications of adopting AI while also building trust on a societal level and over time. Each AI use case has unique risks and considerations that require context-specific approaches. We also need to support experimentation and exploration as this is where potential risks are concretized and addressed.
Moreover, due to the speed of development, we are not yet able to foresee all possible risks and opportunities with AI. It is therefore paramount that we build a strong AI ecosystem that is capable of applying responsible principles over time. A robust AI ecosystem requires national and international collaboration, active contribution and participation of a diverse group of stakeholders and domain experts, and sharing of information and best practices.
The adoption of AI spans many fields, both technical such as data management and infrastructure, and non-technical areas such as behavioral sciences and people management. Given this, a multi-disciplinary approach throughout the lifecycle of AI development and application will increase our understanding of how AI solutions will be the most useful without producing undesirable results, as well as the effect on society as a whole.
For organizations developing or using AI, we encourage using existing work done by organizations such as EU, NATO, OECD, and UNESCO, and would like to place additional emphasis on some specific perspectives.
Lawfulness and transparency: All AI solutions should be developed and used within the rule of the law and stakeholders should be held accountable accordingly. We strongly advocate for proportionate and reasonable transparency about how AI systems are developed and work. This involves communicating the capabilities and limitations of AI understandably to all stakeholders, including end users and citizens.
Ethical and fair: AI systems must be designed and operated in a manner that respects human rights, values, and cultural diversity. This includes mitigating risks with AI algorithms such as bias and discrimination. It is essential to consider ethical implications at every stage of AI development and deployment.
Safety and robustness: AI systems must be reliable, controllable, and secure. They should function as intended under various conditions and be resilient to manipulations and errors. This includes safeguarding against malicious use of AI technologies and ensuring that AI does not pose unintended harm to people or the environment.
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2024-10-16 08:05
Linked Weblink
Today we are publishing a significant update to our Responsible Scaling Policy (RSP), the risk governance framework we use to mitigate potential catastrophic risks from frontier AI systems.
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Claims of AI outperforming medical practitioners are under scrutiny, as the evidence supporting many of these claims is not convincing or transparently reported. These claims often lack specificity, contextualization, and empirical grounding. In this comment, we offer constructive ethical guidance that can benefit authors, journal editors, and peer reviewers when reporting and evaluating findings in studies comparing AI to physician performance. The guidance provided here forms an essential addition to current reporting guidelines for healthcare studies using machine learning.
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2024-04-22 06:51
Linked Podcast
Listen to this episode from AI for UN on Spotify. Join us in a captivating exploration of the nuanced relationship between artificial intelligence and human rights within the United Nations. This episode of AI for UN features an in-depth discussion between Gemini and Claud 3 Opus—two advanced AI models—on the multifaceted impact of AI technologies. Together, they dissect the potential of AI to both uncover human rights abuses and introduce challenges such as privacy and algorithmic bias. Engage in a conversation that delves into the ethical, legal, and social implications of AI in global governance, and examine the crucial role the UN plays in aligning technological advancements with the core values of humanity. This episode is a must-listen for anyone interested in the intersection of technology, governance, and human rights—from UN staff to tech enthusiasts worldwide.
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2024-04-19 12:19
Linked Weblink
AI will soon touch all of our lives, deeply. Organisations must wield AI’s power with care, so they—and their stakeholders—can trust it as it transforms our world.
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2024-03-22 16:26
Linked Weblink
Generative AI poses both risks and opportunities. Here’s a road map to mitigate the former while moving to capture the latter from day one.
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2024-02-28 09:02
Linked Weblink
Rapport från Vinnova som beskriver hur AI kan bidra till jämställdhet. Viktig och ständigt aktuell läsning!
Här hittar ni även en serie av rapporter publicerade av Vinnova: https://www.vinnova.se/m/jamstalld-innovation/rapporter-kring-jamstalldhet/ |
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2024-02-09 07:53
Linked Weblink
Consortium includes more than 200 leading AI stakeholders and will support the U.S. AI Safety Institute at NIST.
Today, U.S. Secretary of Commerce Gina Raimondo announced the creation of the U.S. AI Safety InstituteConsortium (AISIC), which will unite AI creators and users, academics, government and industry researchers, and civil society organizations in support of the development and deployment of safe and trustworthy artificial intelligence (AI). The consortium will be housed under the U.S. AI Safety Institute (USAISI) and will contribute to priority actions outlined in President Biden’s landmark Executive Order, including developing guidelines for red-teaming, capability evaluations, risk management, safety and security, and watermarking synthetic content. |
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2024-02-05 19:01
Linked Weblink
A site that collect and presents all the worlds various AI regulations. I imagine it can be very useful for AI startups.
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Responsible AI GuidelinesThere are many organizations that have done a very thoroughly and grounded work in the area to develop guidelines and frameworks. We encourage you yo always take a look at these before you start your own work, or just build on top of these: |
AI GovernanceTo uphold a responsible, legal and ethical way of using AI organisations needs to implement and work with AI Governance throughout the whole process. Here is a list of platforms that can support in this work: |
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2024-10-14 08:02
Linked File (PDF, Word, PPT, etc)
Detta metodstöd har jag sammanställt utifrån min tolkning av EU:s AI-förordning och med
grund i min erfarenhet av riskbedömningar och riskanalysarbete. Syftet är att ge vägledning kring hur förordningens krav kan implementeras i praktiken. Det är dock inte en heltäckande eller definitiv tolkning, och jag kan inte ta ansvar för eventuella felaktigheter eller ofullständigheter i informationen. För mer detaljerad och korrekt information, hänvisar jag till den fullständiga texten av AI-förordningen. Alla bör göra egen ”research” och anpassa innehållet efter sina specifika verksamhetsbehov och juridiska förutsättningar. Det är fritt fram för alla att fritt anpassa, lägga till eller ta bort delar av texten efter den egna verksamhetens behov, tycke och smak. Jag hoppas att detta metodstöd kan vara till nytta i ert arbete och bidra till en säker och effektiv implementering av AI-förordningen. Lycka till! |
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2024-04-11 13:22
Linked Weblink
Research and innovation news alert: The Commission, together with the European Research Area countries and stakeholders, has put forward a set of guidelines to support the European research community in their responsible use of generative artificial intelligence (AI).
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De här riktlinjerna ska hjälpa lärare att förstå vilken potential användningen av AI-applikationer och data har inom utbildningen och öka medvetenheten om eventuella risker.
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