Człowiek rozmawiający z robotem

Traps of generative artificial intelligence

Traps of Generative Artificial Intelligence How business leaders can maximize the potential of introducing Generative AI 🧑‍💻 📈 Investment in innovative technologies has increased dramatically over the past decade. According to a 2022 McKinsey study, “the use of artificial intelligence has more than doubled in the past five years.” 📱 Business leaders increasingly see generative AI as a powerful tool for innovation and problem solving. Generative AI can be used to automate complex processes, create personalized experiences for customers, and even generate new ideas and projects 🧑‍💼 However, entrepreneurs must be aware of the potential pitfalls of generative AI and should ensure that appropriate measures are taken to minimize them: 1️⃣ Hallucinations – Artificial intelligence can generate inaccurate or misleading results, especially with complex data or images. These can be a significant drawback in highly regulated industries, such as healthcare or financial services, where consistency and accuracy are critical. 2️⃣ Deepfakes – Generative artificial intelligence algorithms can create media based on patterns learned from existing data. However, their misuse can lead to the creation of deepfakes – such as manipulated videos or images – that spread misinformation. Creating highly realistic fake media can even lead to blackmail and reputational damage. 3️⃣ Simplicity – Generative artificial intelligence can be opaque, making it difficult to understand how decisions or results are arrived at. This can lead to mistrust and can make it difficult to explain results to stakeholders. 4️⃣ Legal and ethical issues – As with any artificial intelligence technology, Generative AI raises legal and ethical issues related to data privacy, intellectual property and bias. Business leaders must comply with relevant laws and regulations, as well as address ethical issues related to the use of generative AI. 5️⃣ Security Issues – The large amount of data shared by users to generate new content gives Generative AI models more data to train and improve, but at the same time makes the data vulnerable to security breaches and data privacy issues. It is imperative to make sure that appropriate security measures are in place to protect their data and that of their customers. Business leaders, realizing the potential that generative AI offers, are increasingly eager to incorporate it into their broader digital transformation plans. One thing is important to remember. While the technology is the same for everyone, its adoption and implementation will help companies differentiate their offerings and change their operating model 🧑‍💻 Contact us to find out how we can help you with your digital transformation. Author: Joanna Sioła, Customer Experience Specialist

read more »