Is GenAI Too Open Today?

Enterprises are still uncomfortable to use Generative AI Models concerning around safety and security. Generative AI is a double-edged sword. On one hand, it has incredible potential to assist in creativity, business, and even problem-solving. On the other hand, its misuse can lead to significant harm. It’s important for developers, regulators, and users to be aware of these risks and take necessary steps to mitigate them, such as implementing strong safeguards, ethical guidelines, and monitoring systems.

So, in this Episode, we will cover at least a  baseline safety net we must  have while adopting Gen AI.  Additionally we can be excited about the endless potential Gen AI can bring for the human race.

Pro Position: Generative AI, in its current state, is too open and accessible, potentially leading to misuse. The widespread availability of AI tools has made it easier for individuals to create deepfakes, spread misinformation, and produce harmful content. While generative AI holds immense potential for creativity and innovation, its open nature raises concerns about ethical boundaries, security, and the potential for exploitation. The lack of regulation and oversight can lead to a proliferation of harmful practices that could have long-term societal implications.

Con Position: Generative AI being open today is essential for fostering creativity, innovation, and accessibility. The open nature of these tools allows individuals and organisations, regardless of their size or resources, to leverage AI for positive purposes, such as improving education, research, and the arts. Restricting access could stifle progress and limit the potential benefits of this transformative technology. Furthermore, rather than limiting access, the focus should be on creating better systems of education, ethical frameworks, and regulation that empower users to use generative AI responsibly.

So, join us for an exclusive debate between industry veterans  featuring top global leaders and innovators as we navigate how to overcome the data security challenge in generative AI applications.