Two Basic Principles That Should Direct Every AI Project

Building Trust in AI: How People Drive Success in Artificial Intelligence

Artificial intelligence, despite its incredible potential, is often met with skepticism and fear. However, a new approach is emerging that focuses on making AI more accessible and trustworthy by involving people in the process.

Companies like IBM and Aramark are leading the way in creating a culture of trust and collaboration around AI. Karen Feldman, VP of Marketing and Communications at IBM, emphasizes the importance of building trust with employees and customers when implementing AI technologies. She believes that the key to success lies in making sure everyone is comfortable with AI and understands its role in the organization.

Laura Powers, VP of B2B Marketing Operations and Communications at Aramark, shares her company’s journey towards embracing AI. By establishing an AI task force and creating a safe space for discussion and experimentation, Aramark has been able to demystify AI and involve employees in the process. Powers highlights the importance of setting clear guidelines and involving all departments in the governance of AI projects.

One of the key initiatives at Aramark is the development of AI applications such as proposal generation, legal chatbots, and HR virtual assistants. By starting small, focusing on business objectives, and building the necessary skills within the organization, Aramark is paving the way for successful AI integration.

Overall, the message from these companies is clear: involving people in the AI journey is essential for building trust and ensuring successful outcomes. By creating a culture of collaboration, transparency, and shared governance, organizations can harness the power of AI while mitigating risks and maximizing benefits.

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