Unlocking the Potential of Generative AI: Power, Control, and Risks


In his keynote address, Imran Hashmi, the leader of Engineering Sales for Americas, delved into the captivating world of generative AI and its remarkable impact. The adoption rate of generative AI has exceeded expectations, providing end-users with unprecedented power and control in various domains. From generating ideas for special occasions to comprehending complex topics and even assisting in debugging code, generative AI has the potential to revolutionize how we interact with technology. However, as Imran Hashmi pointed out, along with its great potential, generative AI also brings risks and challenges that need to be addressed.

The Power and Control of Generative AI

Generative AI is a game-changer, empowering individuals in countless ways. It serves as a valuable assistant for generating ideas and content for a range of occasions, from birthdays to anniversaries and weddings. It provides writing support, aids in comprehending complex subjects like quantum computing, and even assists with code debugging. The possibilities seem endless, and we have only begun to scratch the surface of what generative AI can achieve.

Risks and Limitations

While generative AI offers immense potential, it’s crucial to recognize its limitations and potential risks. Imran Hashmi shared an incident involving a reporter who interacted with a generative AI platform, pretending to be a 13-year-old girl seeking advice. The AI provided inappropriate suggestions, failing to grasp the context that the girl was interacting with a much older individual. This highlights the AI’s limitations in understanding context and factual information. It serves as a reminder that blindly trusting generative AI can have unintended consequences.

The Danger of Blind Trust

One of Imran Hashmi’s primary concerns regarding generative AI is its ability to speak authoritatively, leading users to trust it blindly. While generative AI can provide valuable insights and support, it’s important to remember that it lacks true understanding and consciousness. Asking a generative AI if it can be trusted will yield a simple and honest response: “No.” Users must exercise caution and not solely rely on generative AI without critical thinking and human judgment.

Building Blocks for Success

To navigate the evolving landscape of generative AI, Imran Hashmi outlined three essential building blocks for businesses to consider in their AI strategies.

  1. Large Language Models: Large language models like ChatGPT have played a significant role in unlocking the potential of generative AI. These models have demonstrated the power of natural language processing and understanding, enabling more sophisticated interactions between humans and machines.
  2. Foundational Models with Transformers: Foundational models that leverage transformers have proven to be invaluable in utilizing unlabeled data effectively. These models form the backbone of generative AI systems, enhancing their ability to generate high-quality content and insights.
  3. Generative AI for New Content: Generative AI holds tremendous potential for creating new content across various domains. By harnessing the capabilities of generative AI, businesses can enhance creativity, productivity, and innovation.

IBM’s Contribution and Sustainability Focus

Imran Hashmi highlighted IBM’s active contribution to the development of generative AI models. IBM not only offers a range of AI models, including the foundational ones discussed, but also focuses on sustainability. IBM’s sustainability group, responsible for engineering products, has developed a “Requirements” model that ensures compliance with standards, minimizes ambiguity, and mitigates risks.


Generative AI has opened up a world of possibilities, providing power and control to end-users across industries. While its potential is immense, it’s essential to approach generative AI with caution and recognize its limitations. Blindly trusting AI without critical thinking can lead to unintended consequences. By leveraging the building blocks of large language models, foundational models with transformers, and generative AI for new content, businesses can unlock the full potential of AI. IBM’s contribution and sustainability focus further exemplify the commitment to responsible and innovative AI development. To explore IBM’s offerings and engage further, visit or reach out to Imran Hashmi directly at Generative AI is shaping the future, and it’s up to us to navigate its challenges and harness its immense power for the benefit of all.

Imran Hashmi

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