Worse definitely. Why? cause algorithms improvise badly. No algorithm can ever be better than the brain who constructed it. However, running a country may not engage the brightest minds. as such, it depends.
The government run with algorithm is worse than the government my have now. Why because our leader has a good mind better than any constructed human algorithms
Corruption will be more controlled with algorithm and AI. Intelligent algorithms only work as trained by specific team of expert human being to implement specific government processes. Mistakes are rare and algorithms can be trained to overcome problems and mistakes. Moreover, with more test algorithms will be more robust and efficient. The advantage is obedience to law and constitution and no corruption.
The country would probably be run more consistently, if not necessarily better. Thing is, algorithms are rule-based programs, written by people. You write them, you test them under a battery of conditions, you tweak them if you see fallacies, and then you apply them to whatever system.
With experience, the algorithm may need more tweaking. So it's not like this algorithm came out of nowhere.
In fact, our laws work much the same way. They are only changed if there's a good reason to do so. Otherwise, they rule.
I think that The personal freedom is the best value that you can have. It’s not compatible with a government algorithm , People's Government is so better.
Interesting question. But it is very sensitive. Under current social conditions (when finance comes from Big Money) I am very pessimistic that AI will develop the way, that is optimal for the society as a whole, and even for its majority.
But even if we imagine social cohesion and work of AI on public interest, there are still many problems. Machine can formalize accounting, but it has no soul, and does not care about spiritual problems, which are also important for humans.
After the initial enthusiastic adoption of Artificial Intelligence algorithms in solving social problems, we can observe a sudden return to more traditional methods. The main reasons for this situation are serious problems with algorithms and data. To give an example, I would like to quote from the article: "The Promise and Risk of Artificial Intelligence: Global Government Summit 2018, Part 4". The main points are summarized as follow:
“Artificial intelligence and real-time data streams could dramatically cut costs and improve outcomes in the operation of government and public services. But as delegates discovered at the 2018 Global Government Summit, these technologies also bring threats around accountability, transparency, privacy and bias: to safely harness the power of emerging technologies, governments must get ahead of the game”
The excellent commentary on the input data comes from the story of Jorge Luis Borges “about an ancient kingdom, high in the Andes, whose leaders were obsessed with cartography. They aspired to develop maps with ever-greater fidelity and accuracy, and launched increasingly ambitious projects until, eventually, they began a project to map their kingdom on a scale of 1:1.”
It is not surprising that the project has failed. There are many more examples of using synthetic algorithms to simulate complex systems in economics, history, social sciences, fluid turbulence, cosmology, and even our daily daily weather forecasts. In all cases, formal methods indicate that the nonlinear aspects of real human intelligence are still not surpassed by "cellular automata structures."
For further details, please consult the full text of the paper: "The Promise and Risk of Artificial Intelligence: Global Government Summit 2018, Part 4"