#future #futurist #visionary #ai #robotics
Note: Not all kinds of AI algorithms hallucinate like Gen AI does. It seems like science fiction now, but it will become reality in some time from now.
Summary: Leaders would maintain their AI software systems. Each party would have different software to reach the most remote voters. Each AI software would be known by the leader’s name. Each county AI software would be identified by the leader’s name of that specific area of leadership. They would imbue the robot’s voice with vigor, pride, and a sense of service. In the name of serving the people. These AI software systems would be passed on to the next leader and would be updated to meet changing demands and times. We can’t enter fully robotic mode as times We can’t switch to a fully robotic mode because changing times mean changing needs.change means needs change. Some of it can be based on rules extracted form data as opinion polls, these rules can be a good way to start this AI progress. These 10–20 years would go in learning politics by AI Bots, unless you use Gen AI, which is subject to errors many times, so lets avoid that for a while. Till then robust AI rule extraction and validation by current leaders is a better way to start the automation.
Do you realize how much your leaders want your country to succeed? Some things are not easy. You say they can’t function well, so we might choose someone inexperienced like Mamdani, who just became famous because of his youthful voice and the distrust you have in systems. Pick your person, or it’s time to consider your AI Party. Yes, New York is definitely in a bad state, given the Governor. Let us see how AI leaders can support you. Mamdani in New York won’t do anything for you; he’ll just rely on his loud voice. So, it’s time to look for AI leaders.
By the people and for the people.
— Most leaders I endorse are all hard-working people who want to do better for the world.
— So, since you are not happy, it means they won’t be there either. As Pred Macron asked for snap elections when you made him to lose the EU elections.
— These good leaders won’t mind AI ruling the country, as long as it is correct.
— How to get AI leaders.
— Top AI engineers can work on this.
— These AI engineers can ask people like Pred Macron, Pred Trump how to build an AI app for running your countries.
— It is not easy; it may take time.
—Which AI? AI from opinion polls to AI of sentiment analysis to even Twitter analysis.
— The first thing would be to create an AI Robot that shouts like Mamdani of New York to attract attention. Would you vote for such an AI Robot that only shouts and says things that are unethical? No, right.
— So, call in your AI engineers who are lured from ChatGPT to Facebook (Meta).
— Tell AI engineer to make — AI leaders, AI software. Note that all AI is hallucinating Gen AI.
— Some AIs are robust following decision systems based on AI.
— Not all AI makes errors.
— Decision making with AI matters
— So, how would you start it?
— Start it with a rule-based AI.
— Start it with AI with knowledge-based systems.
— Not all kinds of AI algorithms hallucinate as Gen AI does.
— What all is needed for it?
— Start with Rule-based systems such as FIS.
— You need experts to make Knowledge Based Systems
— You need data to extract rules, for example, the decision taken by the government and the results, to analyze citizens’ sentiment over a period of time.
— Sentiment analysis of citizens matters.
— Decision-making using AI can be used.
— People can send their AI threads to campaigns in New York,like places.
— Tell people AI is impartial.
— Even today’s leaders would guide AI till it matures in say 10 years to 20 years in time.
— Yes 10–20 years, governance can be automated.
— You don’t know how stressful the job of leaders is. And they would love to teach how AI can work under them.
— So leaders would send their party AI bots to each county to explain how they would manage during and after elections.
— Each AI agent would be a voice maintained and working under the supervision of a real human leader.
— How would it work?
— Generating threads of AI for each segment of the social issue.
— That is one thread for food security; other issues may include storms and climate concerns; another AI thread focuses on water security; another AI thread addresses funding allocation to the unemployed; one thread concerns school education; another AI thread focuses on graduate education; another AI thread aims to create jobs; and yet another AI thread seeks to attract youth to work in industry.
— All these threads would work under human leaders.
— Each county would still have human leaders and people who work under them.
— But we would have AI to assist us , for you to see the transparency.
— At the end of the day, we all want transparent systems.
— Human leaders would be needed for the 0.2 % times when AI is without decisions, most of the time AI would have decisions. How?
— These human leaders in the time frame of 10–20 years would feed into their decision-making computers.
— The AI Party would be named after its leaders, as the AI would be created based on rules outlined in the party’s Knowledge Base by these leaders.
— This would make AI learn decision-making as an intelligent decision-making software.
— Another way for AI is to learn on your own how humans make decisions.
— Each party leader makes decisions differently. Hence, the AI system for that county would be different for each party leader.
— Every party leader can maintain their knowledge-based system.
— Each party leader can also maintain a GPT-based chatbot to know and explain their steps taken.
— Each party leader would send their robots to people in far-off places away from all the modernization, to hear them and to help them.
— Each party leader to maintain their voice and help in voting campaigns.
— You would see how much AI was used. Still, the party leaders worked hard to understand you, and manually entered many key decisions to overtake some of the AI decisions just because they thought that AI made wrong decisions in a particular instance.
— Apart from rule-based and corpus-based methods, we have methods where decisions are based on uncertainty.
— Uncertainty, for example, climate disasters, when uncertainty-based rescue missions are to be made. AI bots would design and send it for implementation, and at the same time, discuss this with human leaders for any human insight.
— Human insight is needed, so human leaders can never be entirely replaced. Especially when we know that we can’t handle all powers to robots, who are prone to making their own languages to communicate, in so many contexts in the past.
—Dynamic decision making based on latest information as in case of forest fires, where to send aid working under fire commissioners of the surrounding areas.
—Rule extraction while deciding budget.
—Each leader to maintain a robot with these algorithms to talk to people daily, when he is unavailable. Politics is a tough stressful job.
—Leaders robots to cheer the people when things go well.
Photo Credits: AI
Artificial Intelligence, Computer Science & Mathematics 