Generative AI is the number 1 priority for companies, but there are concerns. In a recent study by IBM’s Institute of Business Value, a whopping 64% of CEOs feel the heat to jump on the generative AI bandwagon. However, a striking 84% identify cybersecurity as the main roadblock. So, how do we keep innovation flowing while ensuring security and trust?
In this session, we will delve into the evolving generative AI threat landscape, exploring emerging cyber threats. We will examine the delicate balance of using data for training AI models while safeguarding data privacy and copyright concerns. AI governance and ethical considerations to ensure fairness and transparency will be explored, offering strategies to address bias and ensure accountability. Join us to discover how AI can be secured, ensuring that the transformative power of generative AI can be harnessed for the betterment of humanity (no evil AI system plotting world domination!).
Learning Objectives:
Recognize the threats unique to generative AI and strategies to mitigate them.
Explain the importance of data security in AI and how to protect the data.
Describe how AI governance can be established to address biases and establish trust in the AI response.
