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I'll press your buttons here by positing that if "we" (humankind) are too dumb to self-regulate our own childbirth output, too dim to recognize that we are polluting ourselves and neighbors out of sustainable existence, we are, in fact, a ridiculous parasite on this Earth and that the planet on which we live will simply slough us off—as it well should—and will bounce back without evidence of we even being here, come two or three thousand years. Your thoughts (in as much detail as you wish)?I would recommend reading my "the next 50 years" piece here. Basically I think that
 climate change, which in this case genuinely is caused mostly by humanity, 
is just one part of the environmental problem. Overfishing, toxification of 
the seas, pesticide use, weedkillers, prescription drugs in water,
 fracking, continued air pollution, toxicity in food, destruction of animal
 habitat, attrition on bee colonies—all this is converging. And we'll be 
facing the consequences for several hundred years.

I believe humanity will
 survive, and it won't be surviving like Road Warrior or the Morlocks from The Time Machine, but I think we'll have some cruelly ugly social consequences. We'll have famines the like of which we've never seen before, along with higher risk of wars—I do predict a third world war in the second half of this century but I don't think it will be a nuclear war—and I think we'll suffer so hugely we'll be forced to have a change in consciousness to adapt. 

Several prototypes of a diplomatic system using artificial intelligence are under development in China, according to researchers involved or familiar with the projects. One early-stage machine, built by the Chinese Academy of Sciences, is already being used by the Ministry of Foreign Affairs.

China’s ambition to become a world leader has significantly increased the burden and challenge to its diplomats. The “Belt and Road Initiative”, for instance, involves nearly 70 countries with 65 per cent of the world’s population. The unprecedented development strategy requires up to a US$900 billion investment each year for infrastructure construction, some in areas with high political, economic or environmental risk

researchers said the AI “policymaker” was a strategic decision support system, with experts stressing that it will be humans who will make any final decision

As information overload grows ever worse, computers may become our only hope for handling a growing deluge of documents. And it may become routine to rely on a machine to analyze and paraphrase articles, research papers, and other text for you.

Parsing language remains one of the grand challenges of artificial intelligence (see “AI’s Language Problem”). But it’s a challenge with enormous commercial potential. Even limited linguistic intelligence—the ability to parse spoken or written queries, and to respond in more sophisticated and coherent ways—could transform personal computing. In many specialist fields—like medicine, scientific research, and law—condensing information and extracting insights could have huge commercial benefits.

The system experiments in order to generate summaries of its own using a process called reinforcement learning. Inspired by the way animals seem to learn, this involves providing positive feedback for actions that lead toward a particular objective. Reinforcement learning has been used to train computers to do impressive new things, like playing complex games or controlling robots (see “10 Breakthrough Technologies 2017: Reinforcement Learning”). Those working on conversational interfaces are increasingly now looking at reinforcement learning as a way to improve their systems.

Ballard was a brilliant futurist and his dystopian novels and short stories anticipated the 80s cyberpunk of William Gibson, exploring with a twisted sense of humor what Jean Lyotard famously dubbed in 1979 The Postmodern Condition: a state of ideological, scientific, personal, and social disintegration under the reign of a technocratic, hypercapitalist, “computerized society.” Ballard had his own term for it: “media landscape,” and his dark visions of the future often correspond to the virtual world we inhabit today.

Ballard made several disturbingly accurate predictions in interviews he gave over the decades (collected in a book titled Extreme Metaphors)

he gave an interview to I-D magazine in which he predicted the internet as “invisible streams of data pulsing down lines to produce an invisible loom of world commerce and information.” This may not seem especially prescient (see, for example, E.M. Forster’s 1909 “The Machine Stops” for a chilling futuristic scenario much further ahead of its time). But Ballard went on to describe in detail the rise of the Youtube celebrity: Every home will be transformed into its own TV studio. We'll all be simultaneously actor, director and screenwriter in our own soap opera. People will start screening themselves. They will become their own TV programmes.

The effectiveness of psychographic targeting is one bet being made by an increasing number of media companies when it comes to interrupting your viewing experience with advertising messages.

“Across the board, articles that were in top emotional categories, such as love, sadness and fear, performed significantly better than articles that were not.”

ESPN and USA Today are also using psychographic rather than demographic targeting to sell to advertisers, including in ESPN’s case, the decision to not show you advertising at all if your team is losing.

How and why do well-educated, well-intentioned scientists produce biased AI systems? Sociological theories of privilege provide one useful lens.

Their training data is biased. They are designed by an unrepresentative group. They face the mathematical impossibility of treating all categories equally. They must somehow trade accuracy for fairness. And their biases are hiding behind millions of inscrutable numerical parameters.

fairness can still be the victim of competitive pressures in academia and industry. The flawed Bard and Bing chatbots from Google and Microsoft are recent evidence of this grim reality. The commercial necessity of building market share led to the premature release of these systems.

Human rights groups have urged video-conferencing company Zoom to scrap research on integrating emotion recognition tools into its products, saying the technology can infringe users' privacy and perpetuate discrimination

"If Zoom advances with these plans, this feature will discriminate against people of certain ethnicities and people with disabilities, hardcoding stereotypes into millions of devices,"

The company has already built tools that purport to analyze the sentiment of meetings based on text transcripts of video calls