Generative artificial intelligence (AI) can seem like magic to those who are not familiar with it. From creating text and images to writing code, tools like OpenAI’s ChatGPT and Microsoft’s Copilot can produce brilliant solutions to complex problems in just seconds. However, the extraordinary capabilities of generative AI can also come with their fair share of challenges. Four business leaders share their insights on how to overcome some of the major concerns associated with generative AI.
1. Harnessing new opportunities with ethical considerations
Birgitte Aga, head of innovation and research at Munch Museum in Oslo, Norway, emphasizes the importance of addressing ethical concerns associated with AI. She suggests that organizations should allow their employees to explore emerging technologies in a safe and secure environment, while also considering the ethical implications of AI use. Aga also emphasizes the significance of aligning with collaborators who share similar ethical values.
2. Establishing a task force to manage risks
Avivah Litan, distinguished VP analyst at Gartner, highlights the tension between the desire to use AI tools and the need to manage associated risks. She recommends creating a task force for AI that brings together experts from different areas of the business to address privacy, security, and risk concerns.
3. Restraining AI models to prevent hallucinations
Thierry Martin, senior manager for data and analytics strategy at Toyota Motors Europe, expresses his concerns regarding the potential for hallucinations in generative AI models. He stresses the importance of using stable language models and finding ways to create more restrained models that are closely tied to the relevant data.
4. Progressing cautiously to manage expectations
Bev White, CEO of Nash Squared, emphasizes the need for cautious progress in the field of generative AI. She advises CIOs and senior managers to proceed with caution, closely monitoring each iteration of AI models and considering the implications for job security, data privacy, and regulation.
Overall, these business leaders emphasize the importance of addressing ethical concerns, managing risks, and proceeding with caution to ensure responsible and effective use of generative AI technology.
