Published on December 15, 2023, 2:24 pm

Generative artificial intelligence (AI) has the power to amaze with its seemingly magical capabilities. From generating text summaries and creating images to even writing code, tools like OpenAI’s ChatGPT and Microsoft’s Copilot can provide brilliant solutions to complex problems within seconds. However, while generative AI offers immense benefits, it also comes with its fair share of concerns. Ethical issues, security risks, and unpredictable outcomes are among the challenges that users should be aware of when working with this emerging technology.

Birgitte Aga, head of innovation and research at Munch Museum in Oslo, emphasizes the importance of understanding the potential impact of AI. Despite being available for just over a year, generative AI tools such as ChatGPT have been predominantly used by individuals rather than enterprises in a production environment. Aga suggests that organizations should offer their employees a safe space to explore emerging technologies while encouraging critical thinking about the ethical implications associated with AI.

Avivah Litan, distinguished VP analyst at Gartner, points out that one key issue is the tension between those who want to use generative AI across different departments within an organization and those responsible for managing its use. Balancing innovation with security and risk management can be challenging for IT professionals who may not have previously dealt with this technology. Litan recommends creating an AI task force that includes experts from various business areas to address privacy, security, and risk concerns effectively.

Thierry Martin, senior manager for data and analytics strategy at Toyota Motors Europe, raises concerns about hallucinations in generative AI systems. Through his own coding experiments, Martin has witnessed instances where AI models provided incorrect outputs due to their broad training on diverse topics. He emphasizes the need for more stable language models that stay within the knowledge base provided by businesses. Collaboration between companies like Snowflake and Nvidia offers hope for developing customized generative AI models tied tightly to enterprise data.

Bev White, CEO of recruitment specialist Nash Squared, acknowledges the hype surrounding generative AI but urges caution. She highlights that while big tech companies continuously refine their models through multiple iterations, there are still risks to consider. It is crucial for CIOs and senior managers to proceed thoughtfully and not be swayed by the rush to adopt new technologies. White suggests establishing tangible guardrails and prioritizing data security, privacy, and regulatory compliance as generative AI continues to evolve.

In addressing the concerns related to generative AI, it is clear that collaboration, critical thinking, cross-functional task forces, and cautious implementation are key. By embracing innovative technology while also acknowledging its potential risks, businesses can harness the transformative power of generative AI while ensuring ethical use, data security, and optimized outcomes.


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