A new class of artificial intelligence (AI) is emerging—generative AI. Adopting new technologies can be both exciting and challenging. GP Strategies is committed to supporting our organization and valued customers through these changes, and we have developed some guardrails around engaging with generative AI to protect yourself, your company, and your clients.
AI tools have significant potential to enable us to increase productivity, improve collaboration and efficiency, optimize our workflows, and deliver new and exciting value to our customers. In alignment with our values, we are taking a people-centric approach to integrating and deploying generative AI across our service lines and platforms.
Personal and Professional Responsibility
We have shared with our staff the importance of the personal and professional responsibilities tied to using these emerging AI tools. We are prioritizing adherence to our current technology usage policies and procedures and following guidance on how to leverage these tools responsibly. We place high importance on ownership, responsibility, and accountability to align our staff with our company’s requirements for using these tools.As we continue this journey, we will embrace a range of perspectives, promote continuous learning, and follow an agile process while AI, as a toolset, continues to evolve.
Our Guiding Principles for Using AI
To guide GP staff through integrating generative AI tools internally and for our customers, we have established the following principles that we are asking all GP staff to embrace. These principles were crafted in alignment with industry experts, clients, and partners who are leading efforts in this space.
Ensure safety and well-being: Al-enabled learning products and services should leverage data to promote the safety and well-being of the learner or end user. For example, AI-driven analysis and assessment outputs can be used for self-improvement or by a manager to evaluate a performer. There are risks and benefits associated with both approaches—it is important to provide not only the tools but also guidance on how they should be implemented.
Embrace diversity, equity, and inclusivity: AI-enabled learning products and services should reinforce our commitment to diversity, equity, and inclusion. For example, AI outputs and the underlying models should be assessed and monitored for cultural bias. How well does AI work in different regions of the world? Does it work effectively for both Japan and Brazil?
Drive accountability: Our team must be accountable for the quality, accuracy, and included intellectual property (IP) rights of AI-enabled learning and development products and services. This includes, but is not limited to, respecting IP rights, contractual obligations, and applicable laws and regulations. For example, when using AI to generate outputs for a client or end user, is the generated content accurate, have the rights for copy and images been managed, and does it meet quality standards?
Convey transparency: Our team must be able to describe how AI-enabled learning products and services generate outputs and the source and nature of the data it uses to do so. Additionally, we should be transparent about when and how these tools are being applied. We must convey not only the possibilities AI enables but also its limitations.
Promote fair and equitable access: AI-enabled learning products and services should be applied in a way that addresses skill gaps and productivity equitably across the organization. Does AI enable access to information, instruction, and performance support for those that otherwise would not have access to it?
More Information About AI and L&D
Download our guiding principles and check out our AI Learning and Resource Center for current information about AI from GP Strategies.GP Strategies is committed to the responsible use and application of AI, including but not limited to the protection of sensitive, proprietary, and confidential information.
