The Rise of Ethical Concerns about AI Content Creation: A Call to Action
Late last year, we witnessed the launch of fascinating conversational artificial intelligence (AI) chatbots–also known as generative AI (GAI)–that could create impressive text, images, code, music, or video according to user requests. Driven by their promise, versatility, ease of use, and availability, these AI applications quickly gained the interest of various stakeholders, including the media, and became instantly popular. As a result, they gained a massive user base and were utilized for diverse purposes.
ChatGPT is a general-purpose conversational AI chatbot that can answer both broad and specific questions and generate well-written text on any topic on the fly. It can also refine (regenerate) the response following the user’s feedback. Within the first four days, it attracted its first million users; in just two months, it achieved 100 million active users, surpassing a milestone that took TikTok more than nine months to reach. GAI tools generated a lot of hype and enthusiasm and attracted enormous investments for further development.
The power of GAI has been embraced for both personal and enterprise applications. Recently, OpenAI, the maker of ChatGPT, released a ChatGPT API that enables developers to embed ChatGPT in their applications. Microsoft is integrating the technology into its Dynamics and Power platforms. SAP and others are also embracing ChatGPT in their application suite. As a result, the use of GAI for various applications in several sectors is rapidly rising.
Yet, despite its promise, popularity, and hype, GAI has significant limitations. Chatbots like ChatGPT make factual errors, fabricate answers, and give invalid responses, leading to mixed feelings among users. Furthermore, AI content generators raise several critical ethical concerns that developers, users, and regulators must address now. Otherwise, we might face disastrous, unintended consequences that could harm society, businesses, and the economy. Read More…