Innovating with Responsible Artificial Intelligence The Responsible AI portfolio Our capabilities Client stories Meet our core team FAQ Contact us Imagine expanding the possibilities of artificial intelligence in a responsible way to ensure an ethical and controlled environment? Our global Responsible AI portfolio can help you achieve this! With experts all over the world and proven capabilities, Eviden equips you with all the tools and expertise to bring Responsible AI to life in your organization or government agency. Key advantages of our global Responsible AI portfolio include: Cost savings by reducing the risk of legal liabilities, regulatory fines, and reputational damages associated with unethical or biased AI deployments; Building trust amongst users, leading to increased adoption, engagement, and retention; Becoming a trusted brand, by focusing on creating a future proof organization; Enhance the efficiency and performance of AI systems by improving fairness, transparency of the systems and processes; And many more! Our Eviden Responsible AI capabilities are the way to integrate Responsible AI. We advise starting with the business-driven consultancy to assess and analyze the as-is state regarding Responsible AI, to explore the needed capabilities and to establish a roadmap for realization. From the insights gathered from the assessment, we can either support you with the implementation of the entire Responsible AI journey or focus on a specific capability. The capabilities are linked and impact each other, but project scope and realization is depending on your needs and desires. The culture, way of working and adoption is an inevitable element to empower your employees, transform your organization and establish a culture around Responsible AI. Empowering AI, Enriching Humanity: Towards a future of responsible innovation! Contact us to help you innovate responsibly and future-proof your operations! Our capabilities Business-driven consultancy We assess the current state of Responsible AI, explore the necessary capabilities, establish a roadmap, help clients identify risks and add value. Ethical AI We start Responsible AI projects with ethics, aligning company values with strategy. We conduct workshops, perform checks and provide ethics trainings. Responsible governance We establish governance for data and AI with rules, practices, and processes that are human-centered, ethical, and compliant. Responsible management and operations We integrate MLOps with risk management, add controls and monitoring to ensure standardized, risk-aware AI operations. Transparency and bias We help design transparent-by-design AI, integrating compliance, techniques and UX to detect, mitigate bias, ensuring fairness. AI security and privacy By designing, implementing and updating your organizations’ cybersecurity, we ensure the data science operations are secure. Culture, way of working and adoption We help establish a Responsible AI way of working tailored to your needs. Our expertise ensures successful implementation and adoption. Client stories Large European bank We assessed the bank‘s AI practices for EU AI Act compliance, identified improvements and created a roadmap. In just three months, we implemented XAI-by-design, developed training programs, and established transparency guidelines, enhancing model quality and decision-making for over 100 employees. Large European bank Related resources Blog Responsible AI – How to spark innovation responsibly How does AI hallucinate? What’s the best way to prevent a chatbot from being offensive? Welcome to the world of responsible AI. Read more Our Team Bert Wissink Global Head of Data Insight Consulting Maneesh Misra Global Head of GenAI Nina Stefels Thought Leader Responsible AI and Responsible AI Consultant, Netherlands Michelle Wedfald Thought Leader Responsible AI and Responsible AI Consultant, Netherlands Kim van den Akker Bias Expert and AI Consultant, Netherlands Santosh Madyalkar Data Expert, India FAQWhy should organizations care about Responsible AI? As AI systems advance and become more widely used, we are witnessing cases of irresponsible behaviour and unintended severe consequences . This has triggered companies to prioritize the implementation of Responsible AI and governments across the world to establish legal frameworks to govern and use AI responsibly. Which are the AI legislation acts that are entering into force? Many countries are establishing legal framework for AI. Notably, the EU AI Act is the first to enter into force. Others include Canada AI Act Bill C-11, Singapore’s AI Act, United States, UK, Australia, OECD countries and more. When is the EU AI Act entering into force? The EU AI Act has entered into force on the August 1, 2024. AI systems prohibited under the EU AI Act must cease by tFebruary 2, 2025 or face penalties. Enforcement start dates vary depending on the type of AI models and the nature of risks My business is headquartered in USA. Does the EU AI act apply to my business? While the EU AI act applies directly on businesses in the 27 member countries of the EU, businesses that develop or deploy AI systems for use within EU need to comply with EU AI act. What are the types of risks as per the EU AI act and how does it concern my business? EU AI act is a very comprehensive, legally binding framework that covers both single purpose (AI) and general-purpose AI systems (GPAI). It applies to organizations that market or use AI. The EU AI Act has defined four levels of risks: unacceptable risk, high risk, limited risk, and low risk. There are different rules and obligations for different risk levels. Unacceptable Risk: These are prohibited within EU. Social (credit) scoring is an example of unacceptable risk use case. High Risk: This is the focus of regulations. Financial solutions andbiometric identification are some examples of high risk use cases. Limited Risk: The regulations are mainly focused on transparency. Chatbots are an example of limited risk. Low Risk: Not restricted by regulations. Process optimization is an example of low risk use case. Does Responsible AI regulations apply only to highly regulated industries? The regulations like EU AI Act apply to all industries that market or use AI. Highly regulated industries have additional motivation to address ethical concerns, comply with regulations and more importantly continue to innovate within set guardrails. What is the benefit of developing AI responsibly? It aims to mitigate risks and promote beneficial outcomes that could come with AI solutions, while minimizing potential harm to individuals, communities, and society. Embedding ethics that reflects societal and ethical values into business processeshelps create a strong brand reputation with customers, essentially future proofing the organization. Does Responsible AI apply only to GenAI? The advancement in AI, particularly GenAI technology, which can create new content brings its own risks and challenges. This has accelerated the importance of Responsible AI and often discussed in conjunction with GenAI. However, Responsible AI applies to all AI systems, not just GenAI. What is the easiest way to start Responsible the AI journey? The easiest way to start your journey is with awareness training, followed by assessment. Please contact us to schedule your awareness training. Want to learn more? Thank you for your interest. You can download the report here. A member of our team will be in touch with you shortly