Seven guidelines for implementing Responsible AI

Are you ready for the future? The EY Responsible AI framework offers a practical approach to confidently implement Responsible AI.

Organizations face the challenge of implementing AI responsibly, with ethics and transparency at the forefront. Since the introduction of the EU AI Act, there have been significant developments in AI regulation that provide organizations with guidelines to embrace innovation without compromising safety and privacy. The EY Responsible AI-framework offers a practical approach to address these challenges, enabling companies to not only comply with regulations but also create value by establishing a solid and future-oriented foundation in their AI-systems.

4. Transparency

•  Make information about the AI-system easily accessible to both end-users and system designers, for example through user manuals, videos, and interactive online platforms.
• Provide training and education to end-users and designers so they can understand and correctly apply the AI-system. This helps prevent errors and misuse.
   

5. Reliability

•  Ensure a secure architecture for the AI-system to guarantee safety. This includes encryption, secure network access, multi-factor authentication, firewalls, and the use of VPNs.
•  Limit access to the AI-system and associated data to authorized users or devices only to reduce potential threats.
•  Ensure regular security updates for the AI-system and associated software and firmware to reduce vulnerabilities and prevent new threats.
• Implement training programs to raise employee awareness of the threats and risks associated with AI-systems, especially in terms of cybersecurity. This helps them to handle the AI-system and data more cautiously.
   

6. Data Protection

•  Ensure that the design, implementation, and use of AI-systems comply with relevant laws and regulations. Conduct a risk analysis to identify potential effects and risks to the privacy of personal data.
•  Minimize the amount of personal information entered into the AI-system. Ensure that all collected personal information is strictly necessary for the purpose of the AI-system. Developing a Privacy Statement can assist with this.
•  Ensure secure data storage to protect personal information from risks such as hacks and data breaches. Use encryption and secure storage methods to reduce data vulnerability.
•  Ensure transparency in the processing of personal information. This means clearly stating how and why this information is collected, processed, and shared. Provide users with full transparency regarding their data.
• Offer training on the importance of data rights and the organization’s responsibilities regarding the processing and use of personal information.
   

7. Clarity

•  Ensure clear and understandable decision-making. When an AI-system makes a decision, it should clearly explain the criteria that led to that decision to users.
•  Give users the option to opt-out of automated decisions. If they do not wish to participate, there should be an alternative option without automation.
• Ensure that the decision-making criteria of the AI-system can be audited and validated by human operators. This means that the criteria can be disclosed and checked during use.
   

Ready for the future with Responsible AI?

With the EY Responsible AI framework, we enable organizations to harness the full potential of AI. We do this by exposing vulnerabilities and risks where ethics play a central role. Ultimately, Responsible AI is about building trust. By following our seven guidelines, organizations can not only minimize risks but also open the door to innovation. Are you curious about where your organization stands in the EU AI Act Roadmap? De mogelijkheden van AI zijn eindeloos, zolang we er slim mee omgaan en de toekomst duurzaam vormgeven.