Artificial Intelligence (AI) is transforming how we work, live and connect with each other. From automating tasks and facilitating human interactions to enhancing healthcare diagnoses and powering self-driving cars, AI offers remarkable opportunities. However, as AI becomes more integrated into industries and daily life, it is important to acknowledge and address the ethical considerations that come with it.
AI-enabled technologies are largely powered by Large Language Models (LLM) that are trained on vast amounts of data such as text, social media posts, news articles and scientific research. Such models are designed to understand, interpret and generate responses as well as perform wide range of tasks. These models can unintentionally absorb inappropriate or biased content, which may influence their outputs, thereby potentially generating harmful, biased or misleading results.
The potential for bias, privacy breaches and unforeseen consequences necessitates a proactive approach to ensure that there is responsible development and deployment of AI. To mitigate these risks, AI users need to be well-informed about the ethical principles, regulatory frameworks and best practices that guide the development, deployment and use of AI-enabled systems.
This article will explore some ethical considerations in the use of AI, bias and discrimination in AI systems, regulatory frameworks, the future of ethical AI and address ethical challenges posed by AI.