Skip to main content
Perspective:
Perspective

Trustworthy AI™ framework

Bridging the ethics gap surrounding AI

Deloitte puts trust at the center of our AI approach. Helping you address ethics early, root out bias, and protect customer privacy.

An analysis of recent annual reports shows a very telling trend. According to a Wall Street Journal article, twice as many companies reported the use of artificial intelligence as a risk factor in 2018, compared with those citing it in the previous year.

 While AI can deliver exponential benefits to companies that successfully leverage its power, if implemented without ethical safeguards, it can also damage a company's reputation and future performance.

Consumers conduct transactions with organizations hundreds or thousands of times a day through actions like scrolling web pages, banking online, or calling customer service. These transactions seem free of charge, but they aren't. The currency is consumer data.

 Customers should be able to trust that the data they share will be used ethically and without bias by organizations and the AI algorithms they employ. By focusing on AI bias and emphasizing AI ethics, companies can help protect customer data—while building brand equity and customer trust.

Although we're in the early days of commercial AI regulation, organizations shouldn't sit by and wait for others to create a roadmap. To do that could mean missing out on the gains made possible by AI. 

Instead, an organization's board of directors and C-suite should view ethical AI as an imperative that can't be ignored. To tackle this challenge, C-suite leaders can leverage a Trustworthy AI™ framework that promotes the ethical use of AI and sustains the trust of customers and employees alike.

Deloitte’s Trustworthy AI™ framework

We put trust at the center of everything we do. We use a multidimensional AI framework to help organizations develop ethical safeguards across seven key dimensions—a crucial step in managing the risks and capitalizing on the returns associated with artificial intelligence.

Trustworthy AI™ requires governance and regulatory compliance throughout the AI lifecycle from ideation to design, development, deployment and machine learning operations (MLOps) anchored on the seven dimensions in Deloitte's Trustworthy AI™ framework—transparent and explainable, fair and impartial, robust and reliable, respectful of privacy, safe and secure, and responsible and accountable. At its foundation, AI governance encompasses all the above stages, and is embedded across technology, processes and employee trainings. This includes adhering to applicable regulations, as it prompts risk evaluation, control mechanisms, and overall compliance. Together, governance and compliance are the means by which an organization and its stakeholders ensure AI deployments are ethical and can be trusted.

User privacy is respected, and data is not used or stored beyond its intended and stated use and duration; users are able to opt-in / out of sharing their data.

Users understand how technology is being leveraged, particularly in making decisions; these decisions are easy to understand, auditable, and open to inspection.

The technology is designed and operated inclusively in an aim for equitable application, access, and outcomes.

The technology is created and operated in a socially responsible manner.

Policies are in place to determine who is responsible for the decisions made or derived with the use of technology.

The technology produces consistent and accurate outputs, withstands errors, and recovers quickly from unforeseen disruptions and misuse.

The technology is protected from risks that may cause individual and / or collective physical, emotional, environmental, and / or digital harm.

Skip to description

Explore our insights on how organizations can make AI ethics a priority
Toward humanity’s brightest future with Generative AI

Learn how to infuse trust, diversity, and ethics in all aspects of GenAI.

Trusted Generative AI

Responsible generative AI ethics and security is the core of safety in this new AI frontier<br />

Achieving Trustworthy Generative AI

Large language models, image generators, and code generators – we have entered the age of Generative AI.

Colorado Draft Artificial Intelligence regulation

Summary of governance and risk management framework (GRMF) requirements for life insurance companies<br />

Trust: A Key to Achieving Business Value with AI

Organizations that harness the power of AI while effectively governing its associated risks and implementing the right safeguards can better enable innovation.

Applying COSO ERM framework principles to AI

<p>Realize AI’s full potential by applying the COSO ERM framework and principles.<br /> </p>

Trust at the center: Building an ethical AI framework

As a growing number of organizations and functions adopt AI, it must command the attention and active governance of the C-suite and board of directors.

Thriving in the era of pervasive AI

AI solutions are proliferating, from custom offerings to enterprise applications to devices with embedded capabilities.

Human values in the loop

Organizations are increasingly considering the processes, guidelines, and governance structures needed to achieve trustworthy AI.

Preparing the workforce for ethical, responsible and trustworthy AI

AI is reshaping our work—will ethics influence how we use it? Explore how C-suite leaders are integrating ethics alongside AI among their workforces.

Ethical Tech

Making ethics a priority in digital organizations

Six pillars of Trustworthy AI™

Want to sustain the trust of employees and customers? You should address six critical AI dimensions to help safeguard AI ethics and build a Trustworthy AI™ strategy. Take a closer look at these dimensions—and see how our framework helps identify issues related to AI bias and ethics so you can address them at every stage of the AI lifecycle.

Explore the framework

Contact us

Fill out this form...

Send us a message Send us a message

Deloitte AI Institute

Learn more

Did you find this useful?

Yes
No

Thanks for your feedback

Your feedback is important to us

To tell us what you think, please update your settings to accept analytics and performance cookies.

Need help updating cookies?

Get in touch

Irfan Saif

Irfan Saif

US Board of Directors, DTTL (Global) Board of Directors
+1 408 704 4109
Nitin Mittal

Nitin Mittal

Global Strategy, Analytics and M&A Leader | Consulting
+1 617 831 4128
Beena Ammanath

Beena Ammanath

Executive Director, Deloitte Global AI Institute
+1 415 783 4562
Jon Raphael

Jon Raphael

US Managing Partner – Business Services and Performance | Deloitte
+1 212 436 5363
Beth Mueller

Beth Mueller

Partner | Tax Analytics Insights Leader
+1 312 486 3861
Tasha Austin

Tasha Austin

Principal | Deloitte & Touche LLP
+1 202 270 8379
Ed Bowen

Ed Bowen

Managing Director | AI Center of Excellence
+1 215 239 2071
Brian Cassidy

Brian Cassidy

Partner | Deloitte & Touche
+1 201 312 7203