Gen AI Ethical Adoption Guide

Recent studies reveal more than 60% of senior IT leaders are placing a high priority on incorporating generative AI into their businesses within the next 18 months. However, it is crucial to understand that utilizing generative AI in an enterprise setting differs significantly from its private, individual use. To ensure the ethical implementation of AI practices, it is important to establish guidelines that are comprehensible across all levels of an organization when integrating generative AI tools or cloud-based models.

1. Rely Only on Direct Customer-Fed Data:
To ensure ethical accurate and safe output, it is imperative to rely solely on data provided directly by customers where they acknowledge the use of data. While you can adopt the base models from the AI Partners, fine tuning with real direct data is key. Depending on third-party data or information from external sources makes it difficult to guarantee accuracy. Data brokers may possess outdated information, erroneously combine data from unrelated sources, or draw inaccurate inferences.

2. Maintain Human Oversight:
Humans must be involved in reviewing the outputs generated by AI systems to ensure accuracy, identify and address biases, and verify that models are functioning as intended. Remember it is an ongoing job to manage these Products not a onetime investment. Generative AI should be viewed as a means to augment human capabilities and empower communities, rather than a tool to replace or displace them.

3. Conduct Ethical Testing:
GenAI tools require constant oversight, human testing at every stage is a must. Companies can initiate the review process by collecting metadata on AI systems and developing standard mitigations for specific risks. However, it is crucial for humans as well to be actively involved in verifying the accuracy of output, identifying biases, and addressing any hallucinations that may occur.

4. Review and Act on Feedback:
Listening to employees and trusted advisors is essential for identifying potential risks and implementing necessary corrections. Companies should establish pathways that facilitate the reporting of concerns by employees. Staying updated with the latest regulatory best practices will help organizations incorporate relevant guidelines into their processes.

5. Establish Ethical AI Governance Team:
Establishing Ethical AI Governance is essential to protect organizations and their customers in an AI-driven landscape. By implementing risk mitigation strategies, aligning with regulatory guidelines, and educating employees at all levels, organizations can foster a culture of ethical AI. This dedicated team will play a crucial role in ensuring the responsible and safe use of AI technologies while upholding the organization’s integrity and values.