Ethical implications of Generative AI and why we need Responsible AI
The previous section highlighted how, alongside the widespread knowledge and adoption of Generative AI technologies, a general concern is rising.
The rapid advancement of AI technologies brings forth a plethora of ethical considerations and challenges that must be carefully addressed to ensure their responsible and equitable deployment. Some of them are listed here:
- Data privacy and security: As AI systems rely heavily on data for their learning and decision-making processes, ensuring data privacy and security becomes paramount. In Chapter 9, we already saw how Microsoft addressed the topic of data privacy with Azure OpenAI Service, in order to guarantee the Service-Level Agreements (SLAs) and security practices expected of the Azure cloud. However, this data privacy topic also affects the data that is used to train the model in the first instance: even though the knowledge base used by ChatGPT to generate...
