Developing trustworthy artificial intelligence

Standards – Tagged "Artificial Intelligence"

Guidelines for Developing Trustworthy Artificial Intelligence Systems (ANSI/CTA-2096). The Use of Artificial Intelligence in Health Care: Trustworthiness ...

How To Ensure A Safe, Secure And Trustworthy AI - Forbes

This initial step involves placing human rights and values at the forefront, embedding ethical considerations deep within the AI development ...

BALab seminars — Developing trustworthy AI systems

While research in AI has been focusing for the past 50 years on the AI algorithms themselves, little work has been done on how to (a) ensure ...

What is Trustworthy AI? - IBM

Trustworthy AI refers to artificial intelligence systems that are explainable, fair, interpretable, robust, transparent, safe and secure.

Can We Trust Artificial Intelligence? - Caltech Science Exchange

One feature of AI systems that engineers test mathematically is their robustness: how the AI models react to noise, or imperfections, in the data they collect.

Assessment List for Trustworthy AI (ALTAI)

ALTAI helps foster responsible and sustainable AI innovation in Europe. It seeks to make ethics a core pillar for developing a unique approach to AI, one that ...

A Life Cycle for Trustworthy and Safe Artificial Intelligence Systems

In particular, the additional challenge in SE is that AI systems are, in general: (i) data-driven, (ii) can learn and (iii) are adaptive.

Responsible AI: Best Practices for Creating Trustworthy AI Systems

Responsible AI: Best Practices for Creating Trustworthy AI Systems, 1st edition. Published by Addison-Wesley Professional (December 7, 2023)

Developing Accountability Mechanisms for AI Systems Is Critical to ...

The importance of the United States developing an effective accountability system for AI to ensure the development and deployment of trustworthy ...

Developing AI systems we can all trust | Thales Group

AI we can all trust – especially at decisive moments. The critical systems developed by Thales call for the very highest levels of reliability, which is why ...

Artificial intelligence - OECD

Trustworthy AI calls for governments worldwide to develop interoperable risk-based approaches to AI governance and a rigorous understanding of AI incidents and ...

A Development Framework for Safe and Trustworthy Artificial ...

A Development Framework for Safe and Trustworthy Artificial Intelligence Systems based on the Artificial Intelligence Act.

A recipe for trustworthy artificial intelligence | News

Trusted AI is part of the Scalable Asymmetric Lifecycle Engagement (SCALE) workforce development program funded by the Office of the ...

Video: Developing trustworthy AI - Aalborg University

Video: Developing trustworthy AI ... Trustworthy AI systems are vital, for instance in the financial sector. In this video, Associate Professor ...

The Need and Elements of Trusted Development of AI Systems - MDPI

To display the resulting necessity of establishing concrete trustworthy processes for AI development activities as well as requirements and first steps towards ...

Trustworthy Artificial Intelligence - Mozilla Foundation

TRUST: People should have agency and control over their data and algorithmic outputs, especially considering the high stakes for individuals and societies. For ...

White Paper Trustworthy Artificial Intelligence - 中国信息通信研究院

The EU and the US have also placed enhancing user trust and developing trustworthy AI at the heart of their AI ethics and governance efforts. An inevitable ...

Kangaroo Court: Developing Trustworthy AI - ACEDS

How AI is being deployed represents an interesting opportunity to explore AI-ethics because particular uses illustrate concrete implementation ...

Building Trustworthy Experiences: A Primer of AI Principles for ...

In order to establish and sustain trust, those who develop AI technology must make a concerted effort to eradicate biases, promote impartiality, ...

How do you create trustworthy AI? - LinkedIn

Accountability: Those who develop and use AI systems should be accountable for their actions. Transparency: The workings of AI systems should be ...