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 the context of generative AI, this is a topic that affects the data that is used to train the model in the first instance. Even though the knowledge base used by ChatGPT to generate responses is public, where is the threshold of the consent of involved users whose information is used to generate responses?
- Bias and fairness: AI models often learn from historical data...
