Responsible AI Practice
We help organizations navigate ethical challenges presented by AI technologies.
Ready to Deploy AI Responsibly?
The time to ensure a comprehensive RAI implementation is now. We help organizations fully harness the power of Responsible AI, meet emerging regulatory obligations, enhance technology by integrating ethics into the innovation process and more.
Schedule a Strategy Session
Drawing on robust research and industry expertise, our team of our team of AI ethics experts and AI scientists partner with organizations in all industries to:
Mitigate AI risks while enhancing value and meeting regulatory obligations
Implement and improve responsible AI governance strategies
Develop new governance tools and metrics
Develop and deploy safe and robust AI products
Audit models for their impact, transparency, and bias
Fulfill ESG pledges and foster trust with stakeholders
Access on-demand, independent advice from our AI Ethics Advisory Board
Maturity Assessment and Action Plan: Often an ideal first step, this evaluation provides a comprehensive analysis of an organization's readiness and practices in Responsible AI (RAI). It identifies gaps in governance—covering people, processes, and playbooks—and offers clear recommendations on what to build, buy, or implement to achieve sustainable RAI integration.
Governance (People, Process, Playbook): Before integrating RAI tools or procedures into existing workflows, companies must first establish strong governance foundations. Our experts examine the key elements including company culture, values, processes, and principles, delivering customized guidance, scorecards, roadmaps, and more. The opposite of an off-the-shelf solution!
Product and Projects Analysis: Through rigorous evaluations of AI products and projects, our experts help partners understand the impact, mitigate risk, ensure compliance, and avoid creating harm and reputational damages.
Training: Tailored courses to equip organizations, executives, managers, and employees with skills and knowledge to effectively integrate RAI practices organizations, fostering a culture of scalable, responsible innovation and growth.
Advisory: From an on-demand, independent AI Ethics Advisory Board to bespoke one-on-one consultations, our RAI practice provides unbiased guidance, supporting responsible AI development and deployment at every stage.
Download our Verizon Responsible AI Case Study
Learn how we partnered with Verizon on a Responsible AI roadmap, an AI Risk Assessment Framework, AI Model Technical Evaluation Metrics and more.
Responsible AI Education Programs
Responsible AI Executive Education
This cutting-edge course provides an actionable blueprint for leaders in driving their organizations' RAI strategy and in taking their businesses to the next level in the digital world. The courses are particularly fitting for those engaging with company strategy and digital transformation, and those organizing digital innovation initiatives within their organizations. Attendees will learn how to:
Transform organizations with a comprehensive RAI strategy
Build a culture to foster responsible innovation
Create efficient, practical, and seamless operationalization of ethical decision-making
Upskill & empower employees for better implementation of RAI strategies
Differentiate organizations and create customer value
Ethics and Governance in the Age of Generative AI
This course is designed for individuals eager to deepen their knowledge of generative AI and best practices for responsible, ethical incorporation of genAI tools. Gain an understanding of the ethical and technical aspects shaping AI and genAI model development and deployment. Course modules include:
Ethics of Emerging Technologies
Generative AI: An Emerging Challenge
How Does Generative AI Work?
RAI & Generative AI Bias & Fairness Metrics
RAI & Generative AI: Workflows
RAI Strategy & Governance
The Power of Responsible AI in Practice
Director of Responsible AI Practice Cansu Canca explains how we enhance technology by integrating ethics into the innovation process.
.png)
.png)
