Artificial intelligence, like any transformative technology, is a work in progress - continually growing in its capabilities and its societal impact. Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change.
What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it. Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.
In addition to complying with privacy and consumer protection laws, trustworthy AI models are tested for safety, security and mitigation of unwanted bias. They're also transparent - providing information such as accuracy benchmarks or a description of the training dataset - to various audiences including regulatory authorities, developers and consumers.
Principles of Trustworthy AI Trustworthy AI principles are foundational to NVIDIA's end-to-end AI development. They have a simple goal: to enable trust and transparency in AI and support the work of partners, customers and developers.
Privacy: Complying With Regulations, Safeguarding Data AI is often described as data hungry. Often, the more data an algorithm is trained on, the more accurate its predictions.
But data has to come from somewhere. To develop trustworthy AI, it's key to consider not just what data is legally available to use, but what data is socially responsible to use.
Developers of AI models that rely on data such as a person's image, voice, artistic work or health records should evaluate whether individuals have provided appropriate consent for their personal information to be used in this way.
For institutions like hospitals and banks, building AI models means balancing the responsibility of keeping patient or customer data private while training a robust algorithm. NVIDIA has created technology that enables federated learning, where researchers develop AI models trained on data from multiple institutions without confidential information leaving a company's private servers.
NVIDIA DGX systems and NVIDIA FLARE software have enabled several federated learning projects in healthcare and financial services, facilitating secure collaboration by multiple data providers on more accurate, generalizable AI models for medical image analysis and fraud detection.
Safety and Security: Avoiding Unintended Harm, Malicious Threats Once deployed, AI systems have real-world impact, so it's essential they perform as intended to preserve user safety.
The freedom to use publicly available AI algorithms creates immense possibilities for positive applications, but also means the technology can be used for unintended purposes.
To help mitigate risks, NVIDIA NeMo Guardrails keeps AI language models on track by allowing enterprise developers to set boundaries for their applications. Topical guardrails ensure that chatbots stick to specific subjects. Safety guardrails set limits on the language and data sources the apps use in their responses. Security guardrails seek to prevent malicious use of a large language model that's connected to third-party applications or application programming interfaces.
NVIDIA Research is working with the DARPA-run SemaFor program to help digital forensics experts identify AI-generated images. Last year, researchers published a novel method for addressing social bias using ChatGPT. They're also creating methods for avatar fingerprinting - a way to detect if someone is using an AI-animated likeness of another individual without their consent.
To protect data and AI applications from security threats, NVIDIA H100 and H200 Tensor Core GPUs are built with confidential computing, which ensures sensitive data is protected while in use, whether deployed on premises, in the cloud or at the edge. NVIDIA Confidential Computing uses hardware-based security methods to ensure unauthorized entities can't view or modify data or applications while they're running - traditionally a time when data is left vulnerable.
Transparency: Making AI Explainable To create a trustworthy AI model, the algorithm can't be a black box - its creators, users and stakeholders must be able to understand how the AI works to trust its results.
Transparency in AI is a set of best practices, tools and design principles that helps users and other stakeholders understand how an AI model was trained and how it works. Explainable AI, or XAI, is a subset of transparency covering tools that inform stakeholders how an AI model makes certain predictions and decisions.
Transparency and XAI are crucial to establishing trust in AI systems, but there's no universal solution to fit every kind of AI model and stakeholder. Finding the right solution involves a systematic approach to identify who the AI affects, analyze the associated risks and implement effective mechanisms to provide information about the AI system.
Retrieval-augmented generation, or RAG, is a technique that advances AI transparency by connecting generative AI services to authoritative external databases, enabling models to cite their sources and provide more accurate answers. NVIDIA is helping developers get started with a RAG workflow that uses the NVIDIA NeMo framework for developing and customizing generative AI models.
NVIDIA is also part of the National Institute of Standards and Technology's U.S. Artificial Intelligence Safety Institute Consortium, or AISIC, to help create tools and standards for responsible AI development and deployment. As a consortium member, NVIDIA will promote trustworthy AI by leveraging best practices for implementing AI model transparency.
And on NVIDIA
More from Nvidia
18/09/2025
GeForce NOW is packing a monstrous punch this week. Dying Light: The Beast, the latest adrenaline fueled chapter in Techland's parkour meets survival horror...
17/09/2025
Today's creators are equal parts entertainer, producer and gamer, juggling game commentary, scene changes, replay clips, chat moderation and technical troub...
16/09/2025
The U.K. is driving investments in sovereign AI, using the technology to advance...
13/09/2025
Celtic languages - including Cornish, Irish, Scottish Gaelic and Welsh - are the U.K.'s oldest living languages. To empower their speakers, the UK-LLM sover...
10/09/2025
GeForce NOW Blackwell RTX 5080-class SuperPODs are now rolling out, unlocking a new level of ultra high-performance, cinematic cloud gaming.
GeForce NOW Ultima...
09/09/2025
Inference has emerged as the new frontier of complexity in AI. Modern models are...
09/09/2025
As large language models (LLMs) grow larger, they get smarter, with open models from leading developers now featuring hundreds of billions of parameters. At the...
09/09/2025
At this week's AI Infrastructure Summit in Silicon Valley, NVIDIA's VP o...
09/09/2025
Inference performance is critical, as it directly influences the economics of an AI factory. The higher the throughput of AI factory infrastructure, the more to...
09/09/2025
At this week's IAA Mobility conference in Munich, NVIDIA Vice President of A...
09/09/2025
ComfyUI - an open-source, node-based graphical interface for running and buildin...
04/09/2025
NVIDIA today announced new AI education support for K-12 programs at a White House event to celebrate public-private partnerships that advance artificial intell...
04/09/2025
Editor's note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copi...
04/09/2025
NVIDIA Blackwell RTX is coming to the cloud on Wednesday, Sept. 10 - an upgrade ...
03/09/2025
3D artists are constantly prototyping.
In traditional workflows, modelers must build placeholder, low-fidelity assets to populate 3D scenes, tinkering and adju...
02/09/2025
For more than a century, meteorologists have chased storms with chalkboards, equ...
28/08/2025
Brace yourself, COGs - the Locusts aren't the only thing rising up. The Coal...
28/08/2025
Last week at Gamescom, NVIDIA announced the winners of the NVIDIA and ModDB RTX ...
27/08/2025
AI models are advancing at a rapid rate and scale.
But what might they lack that (most) humans don't? Common sense: an understanding, developed through rea...
25/08/2025
Robots around the world are about to get a lot smarter as physical AI developers...
25/08/2025
As autonomous vehicle systems rapidly grow in complexity, equipped with reasonin...
22/08/2025
As the latest member of the NVIDIA Blackwell architecture family, the NVIDIA Blackwell Ultra GPU builds on core innovations to accelerate training and AI reason...
22/08/2025
AI reasoning, inference and networking will be top of mind for attendees of next...
21/08/2025
Japan is once again building a landmark high-performance computing system - not ...
21/08/2025
From AI assistants doing deep research to autonomous vehicles making split-second navigation decisions, AI adoption is exploding across industries.
Behind ever...
21/08/2025
Across the globe, AI factories are rising - massive new data centers built not to serve up web pages or email, but to train and deploy intelligence itself. Inte...
21/08/2025
Get a glimpse into the future of gaming.
The NVIDIA Blackwell RTX architecture is coming to GeForce NOW in September, marking the service's biggest upgrade...
20/08/2025
Editor's note: This blog is a part of Into the Omniverse, a series focused o...
18/08/2025
With over 175 games now supporting NVIDIA DLSS 4 - a suite of advanced, AI-power...
18/08/2025
At Gamescom, NVIDIA is releasing its first major update to Project G Assist - an...
15/08/2025
Of around 7,000 languages in the world, a tiny fraction are supported by AI lang...
14/08/2025
NVIDIA is partnering with the U.S. National Science Foundation (NSF) to create a...
14/08/2025
Warhammer 40,000: Dawn of War - Definitive Edition is marching onto GeForce NOW,...
13/08/2025
Black Forest Labs' FLUX.1 Kontext [dev] image editing model is now available as an NVIDIA NIM microservice.
FLUX.1 models allow users to edit existing imag...
11/08/2025
Using NVIDIA digital twin technologies, Amazon Devices & Services is powering bi...
11/08/2025
Packing the power of the NVIDIA Blackwell architecture in compact, energy-effici...
11/08/2025
Physical AI is becoming the foundation of smart cities, facilities and industria...
07/08/2025
This GFN Thursday brings an offer members can't refuse - 2K's highly ant...
05/08/2025
Two new open-weight AI reasoning models from OpenAI released today bring cutting...
05/08/2025
In collaboration with OpenAI, NVIDIA has optimized the company's new open-so...
05/08/2025
NVIDIA and OpenAI began pushing the boundaries of AI with the launch of NVIDIA D...
05/08/2025
NVIDIA GPUs are at the heart of modern computing. They're used across industries - from healthcare and finance to scientific research, autonomous systems an...
31/07/2025
August brings new levels of gaming excitement on GeForce NOW, with 2,300 titles now available to stream in the cloud.
Grab a controller and get ready for epic ...
31/07/2025
Interest in generative AI is continuing to grow, as new models include more capabilities. With the latest advancements, even enthusiasts without a developer bac...
29/07/2025
FourCastNet3 (FCN3) is the latest AI global weather forecasting system from NVID...
28/07/2025
The electrical grid is designed to support loads that are relatively steady, such as lighting, household appliances, and industrial machines that operate at con...
24/07/2025
For media company Black Mixture, AI isn't just a tool - it's an entire p...
24/07/2025
Sharpen the blade and brace for a journey steeped in myth and mystery. WUCHANG: Fallen Feathers has launched in the cloud.
Ride in style with skateboarding leg...
23/07/2025
In today's fast-evolving digital landscape, marketing teams face increasing ...
Artificial intelligence, like any transformative technology, is a work in progress - continually growing in its capabilities and its societal impact. Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change.
