Generative AI is a rapidly developing field with the potential to revolutionize many industries. However, there are also some potential risks associated with generative AI, such as the creation of deep fakes and the spread of misinformation. In this talk, I will discuss the good, the bad, of generative AI. We will start by defining generative AI and explaining how it works. We will then discuss some of the potential benefits of generative AI, such as its ability to create new content, generate insights from data, and personalise experiences for Public sector and enterprises. I will also discuss some of the potential risks of generative AI, such as its ability to be used to create deep fakes and spread misinformation. We will talk about the challenges with Generative AI and how we can address them in enterprises and Government sector.

Technical complexity: Generative AI models are often complex and require a lot of data and computing power to train.
Algorithmic bias: Generative AI models can be biased, reflecting the biases that are present in the data they are trained on.
Misinformation and fraud: Generative AI models can be used to create fake news articles, images, and videos.
Security risks: Generative AI models can be vulnerable to security attacks. This could allow attackers to steal data or create malicious content.
Lack of transparency: Generative AI models are often complex and difficult to understand. This can make it difficult to assess the risks associated with using them.

Here are some of the specific points that We will cover in the talk:
What is generative AI?
How does generative AI work and best use cases for Public and Entperprise sector?
What are the potential benefits of generative AI in public sector and Enterprises?
What are the potential risks of generative AI in public sector and Enterprises??
How can we mitigate the risks of generative AI in public sector and Enterprises?
Ethical implications of generative AI in public sector and Enterprises.