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Responsible AI

Build confidence in your AI strategy

How can organizations unlock the full potential of AI while ensuring fairness, reliability, and data privacy? The answer lies in Responsible AI, an approach that helps businesses manage AI risks, comply with regulations, and innovate with confidence.

Discover Responsible AI

Regulation

Ensure your AI solutions uphold to regulatory compliance.

Ethics

Integrate fair and unbiased AI solutions that uphold ethical standards.

Innovation

Leverage Responsible AI to enhance decision-making, efficiency, and drive innovation.

What is Responsible AI?

Responsible AI refers to the ethical and transparent use of artificial intelligence technologies, ensuring they are designed and deployed in ways that prioritize fairness, accountability, and societal well-being. By implementing Responsible AI, you mitigate risks and unlock significant value by enhancing decision-making, operational efficiency, and customer satisfaction.

Why implement Responsible AI?

There are three key reasons why organizations should implement Responsible AI. They are the 3 R's of Responsible AI: Regulation, Reputation, and Realization. Addressing these areas helps ensure compliance and build customer trust. It also allows organizations to harness AI's transformative power for innovation and long-term success.

The regulatory landscape surrounding AI is rapidly evolving. Organizations need to comply with emerging regulations or face significant legal penalties, fines and sanctions. The most significant regulation to date is the EU AI Act. Non-compliance can result in fines of up to €35m or 7% of global turnover.
Customers place a high value on fairness and transparency. AI failures, such as data misuse, algorithmic discrimination or unethical AI practices leading to societal harm can erode trust, damage an organization’s reputation and lead to commercial losses.
Responsible AI isn’t just about mitigating risk – it enables organizations to realize value. There’s a close relationship between highly trusted and high-performing technologies. Beyond enhancing trust and reducing risks, AI technology can improve decision-making, operational efficiency and customer satisfaction, and support long-term growth through innovation. Yet many organizations lack control over the deployment of AI and are finding it challenging to assess the risks from their AI systems in a changing regulatory environment. Many organizations have also recognized a growing need to upskill their employees in AI.

The EY.ai Confidence Index

Discover how your organization can reap the benefits of Responsible AI adoption with the EY.ai Confidence Index, which stress-tests your organization’s full AI model lifecycle across our 9 principles of Responsible AI.

Discover the EY.ai Confidence Index

Meet Bernadette Wesdorp, EY's Responsible AI Lead

“Responsible AI focuses on the development and implementation of AI with an emphasis on ethics, transparency, and fairness. It ensures that AI systems are reliable and free from bias, while protecting the privacy and rights of users. By adhering to responsible principles, Responsible AI aims for a positive impact on society and prevents unintended harm.”

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Are you ready for the EU AI Act?

The EU AI Act is now in effect, putting the EU at the forefront of AI regulation and innovation. It aims to unify rules for AI development, market placement, and usage while addressing risks through a risk classification system. Organizations using AI must comply with mandatory requirements for risk management, data governance, and human oversight.

For more information, download the key highlights of the EU AI Act.

Key highlights of the EU AI Act summarized

The European Union Artificial Intelligence Act

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EU AI Act Maturity Assessment

Comply with the EU AI Act. EY's EU AI Act Maturity Assessment helps evaluate AI systems and implement Responsible AI practices.
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EY.ai Confidence Index: driving value through responsible AI adoption

We can help you drive confidence in data, technology and processes that form the infrastructure of your AI ecosystem. Learn more..
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How is FrieslandCampina transforming into a data-centric organization?

How FrieslandCampina’s data platform paves the way for AI innovation

The combination of Power BI and Databricks enables everyone—from analyst to engineer—to work from a single platform towards better decisions

Simon van Ulden, Partner & AI Tech Lead, EY

Asian scientist using micro pipette in research lab

Case study: Life sciences

How a global biopharma became a leader in ethical AI

EY teams could work with us on how a Responsible AI assessment should look, meshing what we were doing with their global Responsible AI framework and working their magic to join the dots.

Head of AI Research & Development, Biopharma company

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Minimal back view of African American man writing code in green lines and using computers in office, copy space

Discover the story behind EY's EYQ

How EY is unlocking the next iteration of GenAI advancement with EYQ

Strategic foresight and responsiveness are crucial in leveraging emerging technologies like GenAI to drive organizational transformation. Understanding and addressing the unique challenges of GenAI allows us to harness its potential responsibly and effectively.

Mary Elizabeth Porray, EY Global Client Technology Vice Chair

Colleagues have a late-night online conference call at the office

How EY ensures compliance in its own AI journey

How EY is navigating global AI compliance: The EU AI Act and beyond

By embedding ethical principles, promoting cross-functional collaboration, and staying engaged with regulators, EY's approach to AI governance has not only positioned the organization to meet regulatory requirements but also to transform AI into a strategic asset.

Sofia Ihsan, EY Global Responsible AI UK&I Leader, Risk Consulting

The EY ‘Client Zero’ Story

How EY navigated its own AI-driven transformation

By acting as our own ‘Client Zero’, EY is determining answers to these questions now – so that we can guide our clients based on real experience and practical use cases of AI technology.

Raj Sharma, EY Global Managing Partner – Growth and Innovation

Coworkers discussing project on digital tablet on stairs of office building

Case study: Employee productivity

How GenAI is empowering talent at a PE-backed consumer brand

The EY team provided a clear framework that was critical to help us navigate how to deploy AI to empower our people, taking both a practical and inspirational approach

Chief Digital Officer, Global Consumer Brand

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Case study: Data automation

How a Nordic insurance company automated claims processing

Our team provided a solution that did more than just digitize and organize unstructured data. It combined EY business insights and industry knowledge within a strategic technology ecosystem to help modernize the insurer's operations.

Fredrik Andren, EY Nordics Financial Services Insurance Consulting Leader

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Team of industrial design engineers gathered around table

Case study: Vendor management

How AI helped a major IT company to improve its vendor interaction experience

We help businesses build their own automation capabilities to improve governance, reduce costs and help create long-term value. EY Fabric AI Space helped our client resolve vendor queries nonstop, resulting in a manual effort reduction and enhanced vendor experience.

Vijay Shankar, EY India Automation and Artificial Intelligence Leader; Partner, Business Consulting, Ernst & Young LLP

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Case study: Banking

Using AI to improve a bank’s agent effectiveness

By addressing the quality issues inherent in conversations recorded by legacy systems and over-reliance on keywords, we were able to identify very subtle signals with a very high level of accuracy.

Sameer Gupta, EY North America Financial Services Organization Advanced Analytics Leader

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Helpful insights on Responsible AI

How responsible AI can unlock your competitive edge

Discover how closing the AI confidence gap can boost adoption and create competitive edge. Explore three key actions for responsible AI leadership.

Sinclair Schuller

EU AI Act Roadmap: What does the AI act mean for your organization?

The EU AI Act is coming soon. What does this mean and what steps should you take now?

EY Netherlands

Seven guidelines for implementing Responsible AI

Explore EY's seven guidelines for implementing Responsible AI, ensuring ethics, transparency, and compliance while unlocking innovation and creating value.

Bernadette Wesdorp

How a license to lead can transform human potential in an AI world

Learn more about the EY AI Sentiment Index Study and unlock key insights to lead in the AI era.

Beatriz Sanz Sáiz + 2

How multidisciplinary collaboration on Responsible AI shapes a future with confidence

Discover insights from our EY AI Talks event on Responsible AI.

Bernadette Wesdorp + 1

EY's commitment to developing and using AI ethically and responsibly

The EY organization is committed to the responsible and ethical design, implementation and use of AI systems. Learn more about our Responsible AI principles.

EY Global

Frequently Asked Questions about Responsible AI

Adopting Responsible AI practices can lead to enhanced customer trust, improved compliance with regulations, and a stronger brand reputation. Additionally, organizations can achieve better decision-making, increased operational efficiency, and a competitive advantage in the market.
Implementing Responsible AI is a collective effort that involves multiple roles within an organization. Key stakeholders include:

AI and data scientists: Develop AI models while integrating ethical considerations.
IT and security teams: Ensure data privacy and security measures are in place, protecting sensitive information used in AI systems.
Compliance officers: Ensure adherence to regulations and standards to mitigate legal risks.
Risk management officers: Assess and develop strategies to mitigate operational, reputational, and compliance risks associated with AI deployment.
Leadership and executives: Set the tone for Responsible AI by prioritizing ethical practices, allocating resources, and fostering a culture of accountability.
Privacy officers: Ensure AI systems comply with data protection regulations and that user privacy is maintained throughout the AI lifecycle.
Ethics committees or boards: Oversee AI initiatives, assess potential risks, and provide guidance on ethical practices.

Ultimately, while specific roles may vary by organization, fostering a collaborative approach across departments is essential for successfully implementing Responsible AI practices.
Failing to implement Responsible AI can lead to significant risks, including the perpetuation of biases that may result in unfair treatment of individuals or groups, ultimately undermining trust in AI systems. Additionally, without ethical guidelines, organizations may face legal repercussions, reputational damage, and negative societal impacts due to the misuse or unintended consequences of AI technologies.

Meet our AI team

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

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EY.ai | Responsible AI | EY.ai Lab | AI Insights | AI Technology | AI Ecosystem | Contact

Responsible AI

Regulation

Ethics

Innovation

What is Responsible AI?

Why implement Responsible AI?

The EY.ai Confidence Index

Are you ready for the EU AI Act?

Frequently Asked Questions about Responsible AI

Meet our AI team

Bernadette Wesdorp

Menno Bonninga

Bart Breggeman

Igor Mikhalev

Diederick Theunissen

Simon van Ulden

Insights

Highlights

Services

Spotlight

Industries

Case studies

Careers

Spotlight

About us

Top news

EY.ai | Responsible AI | EY.ai Lab | AI Insights | AI Technology | AI Ecosystem | Contact

Responsible AI

Regulation

Ethics

Innovation

What is Responsible AI?

Why implement Responsible AI?

Regulation

Reputation

Realization

The EY.ai Confidence Index

Are you ready for the EU AI Act?

Frequently Asked Questions about Responsible AI

1. What are the key principles of Responsible AI?

2. What are the benefits of adopting Responsible AI practices?

3. Who is responsible for implementing Responsible AI?

4. What steps should organizations take to implement Responsible AI?

5. What are the potential risks of not implementing Responsible AI?

Meet our AI team

Bernadette Wesdorp

Menno Bonninga

Bart Breggeman

Igor Mikhalev

Diederick Theunissen

Simon van Ulden