Generative AI is already demonstrating huge potential to drive growth and increase engagement with customers. Early applications such as creating hard hitting content on the fly, hyper personalisation, and streamlining complex tasks, have caught the imaginations of business leaders, who are rushing to understand how they can best leverage the technology and reap its rewards. But, with great power comes great responsibility. While Generative AI is shaping up to be the next big-ticket driver of productivity and creativity, it comes with several risks that need to be managed, to protect businesses and their customers from harm.

In this guide, we will take you through a step-by-step approach on how to mitigate the risks of using Generative AI for your business and explain what measures you can put in place to ensure safe and successful use of Generative AI.

Building a strong business case for AI that prioritizes responsibility and ethics is essential for organizations seeking to capitalize on the transformative power of this technology. By the end of 2023, the global AI market reached an impressive $196.63 billion—a $60 billion surge from 2022—driven largely by an expanding range of practical applications. With such significant investment, incorporating responsible practices into AI strategies is no longer optional but imperative.

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From generating compelling content in real time to simplifying complex tasks and enabling hyper-personalization, this technology has captured the attention of business leaders worldwide. With research suggesting that generative AI could impact up to 40% of all working hours, it's no surprise that organizations are eager to unlock its potential. As generative AI becomes more accessible, governments and lawmakers are taking proactive steps to regulate its use, aiming to minimize risks and promote safe practices. Staying informed about the evolving legal landscape is essential to mitigate risks and ensure compliance. This eBook examines how various countries are approaching the regulation of generative AI and outlines key steps to help you stay informed, compliant, and in control of your generative AI initiatives.

Implementing Responsible AI is crucial not only for the benefit of society as a whole but also for building trust in AI systems—an essential factor for their long-term success.

This panel will address:

• Fairness - designing and training models on data sets that are as diverse as possible and emphasize fairness
• Explainability - enabling users to gain insight into how decisions are made and how results are generated
• Privacy – ensuring data is kept private and secure to protect users’ personal data and privacy
• Trust – the potential for Generative AI to erode trust and the implications that has for business and society

Watch the video here >>