Summary: There are three types of data we have for AI governance to assist human leaders: supervised journalism data with citizens’ sentiments, opinion polls, and unsupervised data from online newspapers and government sources for government confidential systems in digital (e-) governance. With this, we can start developing tools to support governance. Surely, AI can’t replace all decision-making, and we will always need human leaders who are committed to their responsibilities. AI, when used properly, can help people, nations, and the world at large. These data can be given even to chatGPT However, if misused, it can hinder positive progress. Therefore, focus on developing good products, not bad ones. Put guardrails on bad AI aims.
Note: This AI governance can assist the government when making decisions. There can be multiple versions of AI governance depending on who is implementing it.
— AI needs data.
— Where is the data?
— It all starts with data
— Eminent politician can get data in form of rules and knowledge.
— Or it can be obtained from sources.
— Which Sources? Below.
— Who has data with some form of ranking?
— Journalism to get results based on sentiment feedback or citizens’ votes.
— Eample decision on a terrorism threat, previous decisions, and potential new actions. Utilized online and recent information along with advanced systems. This allows testing whether AI governance functions correctly when addressing real-world problems with human leaders.
— Journalism data can start assisting with the aim of automating the big tasks of political systems.
— Fox New, can have its own AI robot running for elections in a state
— CNN
— BBC
— They all have data from opinion polls and the sentiments of citizens.
— Twitter, too, has data about political and business decisions and their impacts on nations. Just don’t let Elon Musk make it.
— All these data and implications can be used in AI logic systems and even in AI GPT.
— These also have sentiments of citizens.
— It can help with autonomous rules.
— Govt grants would head to new directions, and must be guided by eminent leaders, as this is AI and it needs directions initially and always.
— Twitter has a lot of data with sentiments based on reads/views/comments.
— For unsupervised learning -Online newspapers provide an excellent way for unsupervised learning.
— There are two ways, private robots working as above or government bots working on privacy limited data collected by governments such as e-governance or digital governance.
— The government data can’t be shared with companies because it is private. However, the government can utilize digital governance data to develop its own version of government AI reasoning to help with daily government operations.
— AI, when used properly, can help people, nations, and the world at large. However, if misused, it can hinder positive progress. Therefore, focus on developing good products, not bad ones.
— Put guardrails on bad AI aims.