With the release of Open AI’s ChatGPT late last year, the impending changes in the nature of work, creativity, and the economy as a whole moved from the realm of futuristic jargon to an immediate challenge.
Background
- Since at least 2015, when Klaus Schwab popularised the term Fourth Industrial Revolution at that year’s World Economic Forum, terms like 4IR, AI, Internet of Things, and Future of Work have entered the lexicon of politicians, bureaucrats, consultants, and policy analysts.
- Take a look at what has happened in the last few days.
- A Colombian judge included his conversations with ChatGPT in a ruling; Microsoft is integrating the bot with its search engine, Bing, and other products; Google is reportedly developing a similar tool, and there are reports that ChatGPT can already code at an entry level for Google engineers.
Concerns
- Concerns about plagiarism in universities and beyond, as well as the fear that many white-collar jobs will become obsolete in the coming years as AI becomes more ubiquitous and sophisticated.
- Implications for labour, education, and authenticity: The AI revolution is likely to have serious implications for labour, education, content authenticity and authorship, and many other areas.
- A case study of social media’s impact on US elections: Concerns about social media’s influence on politics and society grew in the aftermath of the 2016 US presidential elections, when foreign agents were accused of voter manipulation. Much of the world is still grappling with the issues raised at the time.
ChatGPT
- Simple explanation: ChatGPT is a chatbot that is built on a large-scale transformer-based language model that has been trained on a diverse text dataset and can generate human-like responses to prompts.
- A model of human-like language: It is based on GPT-3.5, a deep learning-based language model that generates human-like text.
- It is more engaging with details: However, ChatGPT is more engaging, whereas the older GPT-3 model only took text prompts and tried to continue with its own generated text. It produces much more detailed text and can even generate poems.
- Remembers conversations: Memory is another distinguishing feature. The bot can recall previous comments in a conversation and relay them to the user.
- Similarity to humans: A conversation with ChatGPT is similar to conversing with a smart computer that appears to have human-like intelligence.
Anticipating possible futures requires engagement with the opportunities
- The Struggle to Keep Up with Technology in Policymaking: Creating policies that keep up with the rapid pace of technological advancement is a challenge for governments all over the world.
- Policymakers must recognise the importance of bridging the gap between technology and regulation, as a growing divide could lead to problems.
- Preparing for technological change in education and the workforce: It is critical to plan for the changes that new technology will bring to education and the workforce, in addition to creating regulations that support innovation.
- This includes anticipating new job types and required skills, as well as updating the education system to better prepare future workers.
The Importance of Technological Change Preparation for India:
- For several years, India has struggled to strike a balance between privacy and regulation in data handling.
- Adapting to technological changes successfully is critical for India to make the most of its large, young workforce. If not addressed in a timely manner, the consequences may be severe.
@the end
The transformations that new technology is inevitably causing must be met with rapid adjustments in the broader national and international legal and policy architecture. The lag between technological innovation and policy, as seen with the rise of Big Data and social media, can serve as a cautionary tale.
Source: https://indianexpress.com/article/opinion/editorials/chatgpt-and-the-ai-challenge-8422879/lite/