Responsible AI Framework

Responsible AI

Ethical AI development, implementation principles, and practical guidance for ensuring AI systems are fair, transparent, and compliant.

Key Principles

Responsible AI encompasses the ethical principles and practices that ensure artificial intelligence systems are developed and deployed in ways that are fair, transparent, accountable, and respectful of human rights and values.

Fairness and Non-discrimination

Ensuring AI systems treat all users fairly and do not perpetuate or amplify biases or discrimination against any individuals or groups.

Transparency and Explainability

Making AI decision-making understandable to users, stakeholders, and regulators through clear documentation and explainable algorithms.

Privacy and Security

Protecting user data and systems from unauthorized access, ensuring compliance with privacy regulations, and implementing robust security measures.

Accountability

Establishing clear ownership of AI systems and their impacts, with mechanisms for redress when things go wrong and continuous monitoring of system performance.

Human Oversight

Maintaining human control over AI systems, ensuring that humans can intervene in automated decisions when necessary, and preventing harmful autonomous actions.

Custom Solution

Elevate Your Compliance Strategy

Get a bespoke compliance assessment engineered for your organization's unique systems, requirements, and regulatory landscape.

Tailored to your unique organizational context
Multiple compliance domains and depths
Expert-backed compliance reports and roadmaps

Regulatory Landscape

The EU AI Act and other global regulations are establishing clear requirements for responsible AI development and use. Organizations must understand these regulations to ensure compliance and avoid penalties.

Key Regulatory Frameworks

EU AI Act - Comprehensive framework for AI regulation in Europe
GDPR - Data protection regulations with implications for AI systems
ISO/IEC 42001 - International standard for AI management systems
National AI strategies and regulations across different countries

Compliance Domains

Explore the key regulatory areas affecting AI systems across different sectors and applications.

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Artificial Intelligence Act (AI Act)

The AI Act classifies AI systems based on risk levels, imposing stricter requirements on high-risk applications. High-risk AI systems must undergo conformity assessments, maintain technical documentation, and ensure transparency and human oversight.

Artificial Intelligence Act (Regulation (EU) 2024/1689)

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ESG Due Diligence

AI systems should be evaluated for their environmental impact, including energy consumption and carbon footprint. Social considerations involve assessing AI for biases and ensuring equitable treatment across different demographic groups.

Directive 2014/95/EU on disclosure of non-financial and diversity information (NFRD)

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General Data Protection Regulation (GDPR)

AI systems processing personal data must adhere to GDPR principles such as transparency, purpose limitation, and data minimization. Automated decision-making, including profiling, requires informing individuals about the logic involved and potential consequences, ensuring their rights to object and seek human intervention.

General Data Protection Regulation (GDPR) (Regulation (EU) 2016/679)

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Network and Information Security Directive (NIS2)

AI systems must comply with enhanced cybersecurity measures under the NIS2 Directive, protecting networks and information systems from cyber threats. Organizations are required to conduct regular risk assessments and implement appropriate security measures for AI deployments.

Directive (EU) 2022/2555 on measures for a high common level of cybersecurity across the Union (NIS2 Directive)

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Whistleblower Protection Directive

AI systems facilitating whistleblowing must ensure confidentiality and data protection, safeguarding whistleblowers' identities. Automated reporting channels should be free from biases that could deter reporting or mishandle reports.

Directive (EU) 2019/1937 on the protection of persons who report breaches of Union law

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Consumer Protection

AI systems interacting with consumers must uphold transparency and fairness, providing clear information about automated processes. Consumers should be informed when they are engaging with AI-driven systems, such as chatbots or recommendation engines.

Directive 2005/29/EC concerning unfair business-to-consumer commercial practices (Unfair Commercial Practices Directive); Directive 2011/83/EU on consumer rights (Consumer Rights Directive)

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Implementation Tools

CertAI offers rapid assessment tools to help organizations evaluate and improve their AI systems.

Baseline Assessment

Conduct a quick baseline assessment of your AI system's compliance with responsible AI principles.

Advanced Baseline Assessment

Perform a more comprehensive evaluation of your AI system's alignment with responsible AI principles.

Gap Analysis

Identify gaps in your AI system's compliance with responsible AI principles and regulations.

Action Plan

Develop a detailed action plan to address identified gaps and improve your AI system's compliance.

Custom Implementation Tools

We provide specific implementation tools accustomed to the needs and wants of your organisation and/or team.