ChatGPT is a large language model artificial intelligence that has recently surged in popularity. Along with ChatGPT, similar models such as Bard and others show great potential in the world of international development. Nonetheless, currently, there are still limited downsides associated with its use.
Given the furor of conversation about ChatGPT and its artificial intelligence peers, and how it shall alter the working frame for people in the field of development, it was decided to ask the machine itself this fundamental question: How can development projects be improved?
The machine’s training in massive amounts of data gave it the capability to reply that optimum development projects must have tangible objectives that are attainable and tailored to a specific group’s needs. Clearly defining the project goals would also help to measure its impact and improve accountability. In addition, it also recommended that communities be engaged in the entire run of the project, as this can uplift their ownership with the project, increasing its sustainability.
ChatGPT is a type of large language model, smartly designed to take on language-based assignments. Such models, like Google Translate, Siri, and Alexa, are trained to generate and recognize patterns in data, storing the information in ‘neural nets’ that can then be used to carry on natural conversations with humans.
Though the model is far from perfect, it is developing at an extraordinary rate. Therefore, as of right now, it is prudent to take any responses ChatGPT gives with a grain of salt, and to test and criticize the machine’s results. If used sensibly, ChatGPT has the potential to assist in a wide range of development projects, especially when it comes to data management, public infrastructure, and the equity of technology access.
In conjunction with the application of ChatGPT, the authors have defined several key steps for public agencies looking to procure the technology. It is imperative to perform data cleaning and accuracy checks, build public digital infrastructure, drive inclusion by actively advocating for regional and global access to the platform, ensure data security, and offer education to staff on how best to apply the machine’s knowledge.
Finally, it is important to note that while ChatGPT has great potential, it is still by no means a complete replacement to existing development models and practices.
The company mentioned in the article is Google. Google is one of the largest technology companies in the world and owns many subsidiaries, such as its search engine Google, the online video platform YouTube, the cloud storage service Google Drive, the mobile operating system Android, and more. It was originally founded as a research project at Stanford University in 1998 and has since grown into a tech behemoth. Google has been at the forefront of artificial intelligence and machine learning technology, having acquired many companies focused on such research and having its own research teams develop algorithms.
The person mentioned in the article is Cass Sunstein. He is a Robert Walmsley University Professor at Harvard University and a preeminent scholar on regulation and legal innovation. He is the founder of the Program on Behavioral Economics and Public Policy, and his books include the bestsellers Nudge, The World According to Star Wars, andSimpler: The Future of Government. He has served in several capacities in the government of the United States, including as Administrator of the White House Office of Information and Regulatory Affairs. In 2009, Sunstein was named by Time magazine as one of the 100 Most Influential People in the World.
