Maximize AI benefits by minimizing potential harms and fostering societal trust
At ICON, we offer consulting services to guide organizations in developing and implementing responsible AI solutions that uphold the highest standards of fairness, transparency, accountability, and inclusivity. We emphasize the importance of transparency and explainability, enabling your AI decisions to be comprehensible and clear to stakeholders. We assist in establishing robust oversight mechanisms to ensure accountability and responsible decision-making within your AI initiatives.
AI Use Case Identification, Feasibility, and Value Assessment
This effort aims to identify potential AI use cases within the organization, assess their feasibility and value, and create a prioritized roadmap for implementation. The focus is on ensuring alignment with business goals, assessing ROI, and understanding the resources and risks associated with each use case.
The objectives/outcomes of this effort would include:
- Work with stakeholders to identify potential AI applications.
- Use industry knowledge and analytics to create AI use cases for your business.
- Analyze each use case for impact, feasibility, and alignment with goals.
- Assess ROI, implementation complexity, resource needs, and risks.
- Create a roadmap to prioritize AI use cases by value and feasibility.
Responsible AI Maturity & Risk Assessment
This offering aims to assess the current state of AI systems, practices, policies, and governance structures within the organization to determine their maturity level in responsible AI.
The objectives/outcomes of this effort would include:
- Assess current AI systems, practices, policies, governance structures, and maturity levels.
- Identify and evaluate potential ethical, legal, and operational risks associated with AI applications.
- Determine the impact and likelihood of these risks on business operations and reputation.
- Identify gaps in responsible AI governance and risk management, and provide recommendations for improvement.
- Develop workshops and materials on responsible AI principles, ethical considerations, and risk management.
- Create a roadmap to prioritize AI use cases by value and feasibility.
RAI Center of Excellence Formation
This offering aims to establish a Responsible AI (RAI) Center of Excellence (CoE) within an organization.
The objectives/outcomes of this effort would include:
- Define the vision, mission, and objectives of the Responsible AI CoE.
- Develop a strategic framework integrating responsible AI practices with Lean Portfolio Management principles.
- Establish governance models, including roles, policies, and procedures for AI development and compliance.
- Align CoE activities with Lean Portfolio Management for efficient prioritization and execution of AI initiatives.
- Monitor CoE performance and provide ongoing support to ensure agility and responsiveness.
Prompt Engineering Foundations and Workshops
This offering aims to design and deliver a series of foundational training sessions and role-based workshops focused on prompt engineering for generative AI models. The training will include hands-on exercises tailored to enhance the skills and abilities of participants across various roles, enabling them to effectively leverage prompt engineering in their respective domains.
The objectives/outcomes of this effort would include:
- Identify roles that benefit from prompt engineering and develop tailored practices.
- Provide foundational training on AI prompt engineering and core techniques.
- Explain how AI models interpret prompts and outline best practices.
- Conduct workshops and interactive sessions for hands-on practice.
- Introduce advanced techniques and optimization strategies for effective prompts.