Re: Pitchforks And Torches Will No Longer Be Able To Stop The 1%

Posted: Sun Sep 15, 2019 4:04 pm, #35
by Doctor A
The preceding post #29 makes clear we will need new rules and regulations to deal with the threat of Artificial Intelligence (AI). Yet we do not have a government in place capable of carrying out these directives in an effective manner. Government in this area will need to be as quick and responsive as the technology itself. Any talk of legal and ethical policies dealing with AI cannot fall back into the arcane and slow dysfunction of "modern day" government. Instead the jurisdiction within any part of government related to AI will need to be separated out not only to create the new laws but also to enforce them. Any weak link regarding speed and breadth of response will not work to protect us.

Post #29
Ahead of us will be an ever increasing number of exponentially expanding algorithmic damage events that we will have to deal with in ever shortening time frames. Contending with this more rapid exponential reality as it barrels down the road towards us means we will not have the luxury of time to solve the problems at hand let alone the ever increasing sets of new problems caused by not solving the last set of older problems. We will be overwhelmed and consumed by these problems unless we apply the breaks before the inevitable crash occurs. The implementation of rules and regulations to control Artificial Intelligence is needed now, not later. An unfettered de-regulatory laissez faire approach promoted by the wealthy profit motive is not sufficient to protect us and guarantees a dystopian apocalyptic future due to our own cleverness. Let us be smart, not clever, and guide the emerging field of Artificial Intelligence with safety measures first before it devours us.
Jan 4, 2019
Artificial Intelligence And The End Of Government
Daniel Araya ... d3009d719b
But what about government? What will the impact of AI be on the nature of government?

Waking Government to AI

Not surprisingly much of the public sector has already begun experimenting with AI-driven technologies. At the federal level, many agencies are beginning to deploy AI-powered interfaces for customer service, alongside an expanding use of software to update legacy-systems and automate simple tasks. Growing investments in infrastructure planning, legal adjudication, fraud detection and citizen response systems represent the first phase in the ongoing digitization of government.

Notwithstanding these investments, however, government remains far behind the private sector in deploying and integrating AI.
Governments need to embrace AI for the good of the people
by Bennat Berger ... he-people/
AI has already taken the private sphere by storm, with massive corporations, dynamic startups, and even our own living rooms playing host to intelligent machine learning software. It’s no big surprise, then, that the world of government is starting to turn to AI to improve its effectiveness in serving populations large and small.

The staid, often congested nature of government bureaucracy is a deeply ingrained image in the national consciousness. The reason this image exists is simple: it’s mostly accurate.

For a number of reasons, public sector work is frequently marred by slowdowns and redundant processes, with nearly every potential step forward wrapped in layers of red tape. Not only that, justified accusations of unfairness in the justice system are a constant blemish on the reputation of those in power. From top to bottom, there are innumerable ways that the government could be made better.
World Economic Forum
16 Aug 2019
Julian Torres Santeli and Sabine Gerdon ... ic-sector/
What's slowing the progress of widespread adoption of AI by government?
Widespread adoption of AI has been slower in government than in the private sector. Given the magnitude of the impact that AI could have on public entities, it is important to understand the roadblocks that stand in the way of systemic government adoption of AI.
All organizations face challenges in adopting new technologies. However, public entities tend to be less agile than their private sector counterparts, owing in part to their established practices and processes. In parts of the private sector a strong culture for experimentation encourages employees to innovate, and positive performance is rewarded. In government there can be less encouragement for employees to take risks.
How the government responds to AI will to a large part be money driven. With vast sums flowing into the private sector at an unprecedented rate, how we fund government will be critical for them to keep up with the private sector.

We cannot afford a weak and feeble future governance in the face this existential threat. Having government not being able to effectively create new policies and regulations in a timely and effective manner will not work. Additionally, enforcing those new laws sufficiently to adress the problem is a must do proposition. The speed and power of the private sector will need to be matched by a future government. Any future discussions about regulating AI will need to keep this in mind. Let us not have government be a rate limiting step because it maybe the misstep that kills us all.