Compliance Review
Perform comprehensive audits to ensure AI systems align with organizational policies and regulations.
Conversational AI
Rigorously identify potential biases and harms in AI systems through extensive testing methodologies.
Trust Audit
Thoroughly assess critical aspects like robustness, transparency, and reliability to determine trustworthiness.
Strategy
Develop organizational frameworks and guidelines to instill responsible and ethical AI development practices.
Our AI ethics board keeps us updated on the latest trends and considerations to shape our responsible AI solutions. These integrate checks for fairness, accountability and transparency.
Bias testing toolkit
Proactively detect and rigorously mitigate sources of unfair bias present in training data or models.
Privacy safeguards
Implement robust safeguards like encryption, access controls, and data minimization to protect sensitive data.
Explainability module
Design AI systems with the capability to transparently explain the reasoning behind decisions to users.
Robustness simulator
Stress test and improve reliability of AI models by assessing performance across a wide range of edge cases.
Fairness dashboard
Provide continuous monitoring capabilities to identify risks of discrimination or other unfair outcomes.
Ethics compliance portal
Develop a centralized platform for auditing, reporting, and managing policies related to AI ethics.
Applying an ethical lens when building AI is key to mitigating risks and fostering trust. Our experts establish safeguards upholding transparency, fairness and human values across AI systems. This responsible approach unlocks AI's benefits.
In preparation for a possible shift in the working paradigm, our AI ethics board helps us stay in the loop about the latest AI governance, policy and standardization trends and we build and mold our philosophy and ethics stance as the landscape evolves, staying on top of the most pressing considerations and their effect on the real world and both business and cultural outcomes.
Our ethics board, informed by the latest ethical and legal considerations in the field, is available to our clients for policy compliance audits, ethical
strategy building and ethical risk assessment. Our experienced multi-domain team can help you ascertain the legal implications and societal impact and consequences of integrating different generative AI technologies.
Through rigorous governance, audits and policies, we enable developing AI that augments human potential - ethically and aligned to shared values.
Mitigate recruitment bias
Incorporate bias testing methodologies during development to proactively reduce risks of unfair bias in AI hiring tools.
Ensure fair credit decisions
Build in algorithmic safeguards and oversight mechanisms into credit risk models to promote equal and fair treatment.
Detect fraud in claims
Enable claims processing systems to accurately identify deception and fraud without unintended unfair outcomes.
Protect privacy
Implement robust controls and accountable data practices to properly safeguard personal data used in AI applications.
Enable transparent diagnosis
Require clinical AI systems to provide detailed explanations regarding the reasoning behind treatment recommendations.
Provide inclusive moderation
Detect and mitigate unintended biases through ongoing review of automated content moderation systems and rulesets.
Co-creating the world we want to live in
From today's trendsetting brands to the startups shaping tomorrow, we collaborate with organizations we respect and applaud. Over two decades, our commitment has been to jointly shape a more open, resilient, and optimistic world alongside our clients.
