The author emphasizes the need for clear usage policies and guidelines to manage these risks. He suggests that humans should be involved in reviewing data sets used in training models and that businesses should only use data shared by customers or collected directly. The article also highlights the importance of educating the workforce and customers about the potential cyber risks posed by generative AI. It concludes by urging businesses and consumers to stay vigilant and formalize their policies regarding generative AI.
Key takeaways:
- Generative AI, which can automatically create something that doesn’t yet exist in the real world, is predicted to have wide-ranging impacts, including the discovery of new drugs and materials, and advancements in fields like marketing and communications, and software development.
- While the potential use cases of generative AI offer opportunities, they could also have disastrous consequences in the wrong hands, leading to concerns around copyright, accuracy, and data privacy.
- Government bodies worldwide are establishing guidelines around the usage of generative AI, with some countries temporarily banning platforms while these frameworks are confirmed.
- Businesses implementing AI models need to establish clear usage policies, involve humans in reviewing all the data sets and documents involved in training models, and educate their workforce and customers about the cyber risks these technologies can pose.