As many of you know a new subject in our day by day is artificial intelligence. Many of us would like to know if this is a threat or an aid to the future of the humanity. There is a lot debate about the intrinsic proper or badness of AI. Yet perhaps the higher hazard in the brief to medium time period is our human dispositions to malicious intent. In any case we need to increase the governance that permits us to have self belief in the safety of AI.
At this point AI is the result of data pushed gaining knowledge of – it has no conscience and can not give an explanation for its reasoning. There is no implicit right or terrible to AI it will in reality reply with results that are derived absolutely through its learning. The suitable or badness of AI will for that reason be based totally on how well we educate the AI, and perhaps most importantly how properly we take a look at the AI.
There have been countless screw ups of AI that increase challenge – the self-learning chat-bot that developed racist and sexist characteristics after solely a few days of being uncovered to the public; and the resume screening AI that filtered out younger ladies on the basis that they had gaps in their employment records (children).
Many implementations of new Technology have been tempered with the aid of organising controls and practices that make the science safe. Historically this has been thru each considerate sketch and responses to disasters. We can examine from the way that science domains like aircraft. If you look at the world today you will see that everyone is using artificial intelligence, at the market, in stores, at home, even when you use the coffee machine to buy a coffee. Even kids in our day are using AI like my daughter who is playing with Furby and my son his tablet. This toy Furby is using AI because you can pet it, it can dance, sing and eat. If you connect Furby to an app on the tablet that toy starts to play and sing with the characters in the app. It uses AI. So yes everyone is using AI from kids to adults. But we must know how to use it because in the future it may become a big problem to our society and a big problem to humanity.
There are a lot of debates in the world, many businessmen are trying to convince us that robots are going to be a big help in the future for us. They want to create robots to look and think like us like the one they have already created, Sophia.
Sophia was created in 2016 by David Hanson from Hanson Robotics and it can talk and act just like a human. It can answer questions that some of the people would not answer and you can have a real conversation with it. This is the first step to human destruction because some of the people, of the big engineers, will not stop at this prototype and they will like to do more and more advanced robots. This is not a good thing for us because robots will take our places. We know that AI it is helpful for us, for our industry, for our day by day life, for our jobs, for medicine, but as Rafael Reif said we must know how to combine AI with our values of life and we must know were to stop in creating this robots, this intelligent machines.
According to S. Makridakis the big impact on of the industrial and digital revolutions has, undoubtedly, been large on virtually all elements of our society, life, firms and employment. By examining analogous inventions of the industrial, digital and AI revolutions, this article claims that the latter is on target and that it would convey vast changes that will also affect all factors of our society and life. In addition, its have an impact on corporations and employment will be considerable, ensuing in richly interconnected corporations with decision making based on the evaluation and exploitation of “big” records and intensified, global opposition among firms. People will be capable of buying items and acquiring services from somewhere in the world the usage of the Internet, and exploiting the unlimited, extra benefits that will open through the considerable usage of AI inventions. The paper concludes that widespread competitive blessings will continue to accrue to these making use of the Internet broadly and willing to take entrepreneurial dangers in order to flip revolutionary products/services into worldwide industrial success stories. The best task going through societies and firms would be utilizing the advantages of availing AI technologies, providing significant possibilities for each new products/services and mammoth productivity enhancements whilst keeping off the risks and hazards in terms of increased unemployment and larger wealth inequalities.
Yes this is a good idea but what if they will not stop in time and they will go further as they did with Sophia. We all know the movie TERMIMATOR, the war between robots and humans, and if we do not stop in time, if we stop believing in our values of life we might get at that point were robots will want to destroy us, the people.
A new book by Robin Hanson, The Age of Em: Work, Love, and Life When Robots Rule the Earth, is reviewed. According to the book the Age of Em describes a future scenario in which human minds are uploaded into computers, turning into emulations or “ems”. In the scenario, ems take over the global economic system by going for walks on speedy computer systems and copying themselves to multitask. The book’s core methodology is the application of current social science to this future scenario, a welcome alternate from the standard perspectives from bodily science, pc science, and philosophy. However, in giving a large tour of the em world, the book from time to time receives bogged down in details. Furthermore, while the book claims that the em takeover scenario would be a appropriate factor for the world and as a consequence should be pursued, its argument is unpersuasive. That said, the e book affords via some distance the most targeted description of the em world available, and its state of affairs affords a wealthy baseline for future find out about of this essential topic.
A robot will never be capable to love, to have real felling towards a human, and it will never be able to do the work of o doctor. Let’s say that robots will enter in hospitals and they will start doing surgeries, it is going to be a good thing because they are precise, but what if the electricity will stop, who is going to save that human? Only a real doctor, a real human will be able to do that, because humans do not need electricity, they can think and they can have ideas in case that something is going to happen. According to Stiglitz a big difference is between AI that replaces workers and AI that helps humans to do their jobs better. It already helps medical practitioner to work extra efficiently. At Addenbrooke’s medical institution in Cambridge, for example, cancer consultants spend much less time than they used to planning radiotherapy for guys with prostate cancer, because an AI device called InnerEye mechanically marks up the gland on the patients’ scans. The medical practitioner process patients faster, the guys start therapy faster and the radiotherapy is delivered with extra precision. Microsoft’s InnerEye undertaking uses AI to make cure for prostate cancer extra efficient. Photograph: Microsoft Project InnerEye StudyFor different specialists, the science is extra of a threat. Well-trained AIs are now better at spotting breast tumours and other cancers than radiologists. Does that imply sizeable unemployment for radiologists? It is not so straightforward, says Stiglitz. “Reading an MRI scan is solely section of the job that character performs, but you can’t easily separate that assignment from the others.” And yet some jobs may also be wholly replaced. Mostly these are low-skilled roles: truck drivers, cashiers, name centre employees and more. Again, though, Stiglitz sees reasons to be cautious about what that will suggest for average unemployment. There is a sturdy demand for unskilled workers in education, the fitness provider and care for older people. “If we care about our children, if we care about our aged, if we care about the sick, we have sufficient room to spend extra on those”,” Stiglitz says. If AI takes over certain unskilled jobs, the blow ought to be softened with the aid of hiring extra humans into health, education and care work and paying them a first rate wage, he says.
A new document predicts that until 2030, as many as 800 million jobs could be lost worldwide to automation. The study, compiled through the McKinsey Global Institute, says that advances in AI and robotics will have a drastic impact on daily working lives, similar to the shift away from agricultural societies at some stage in the Industrial Revolution. In the US alone, between 39 and 73 million jobs stand to be automatic — making up round a 1/3 of the whole workforce. But, the document also states that as in the past, technological know-how will now not be a in simple terms unfavorable force. New jobs will be created; existing roles will be redefined; and employees will have the chance to change careers. The undertaking unique to this generation, say the authors, is managing the transition. Income inequality is likely to grow, maybe main to political instability; and the folks who need to retrain for new careers won’t be the young, but middle-aged professionals. The changes won’t hit all and sundry equally. Only 5 percent of modern-day occupations stand to be completely computerized if today’s modern day technology is widely adopted, whilst in 60 percentage of jobs, one-third of activities will be automated. Quoting a US authorities commission from the 1960s on the same topic, McKinsey’s researchers summarize: “technology destroys jobs, however no longer work.” As an example, it examines the effect of the personal computer in the US given that 1980, discovering that the invention led to the creation of 18.5 million new jobs, even when accounting for jobs lost. (The equal may no longer be actual of industrial robots, which beforehand reviews propose wreck jobs overall.) As with preceding studies on this topic, there’s tons to be stated for taking a skeptical view. Economic forecasting is now not an specific science, and McKinsey’s researchers are keen to stress that their predictions are just that. The discern of 800 million jobs lost worldwide, for example, is only the most extreme of feasible scenarios, and the report additionally suggests a middle estimate of four hundred million jobs. Nevertheless, this find out about is one of the most complete in recent years, modeling modifications in more than 800 occupations, and taking in some 46 countries, accounting for ninety percentage of world GDP. Six nations are also analyzed in detail — the US, China, Germany, Japan, India, and Mexico — with these countries representing a vary of economic situations and differently geared up workforces.
So every were we look, to all the statistics, to what every businessmen is trying to convince us they all go in the same direction, the destruction of the humanity. We must think and stop in time, not to end in a war. Even the movies like TERMINATOR and ARTIFICIAL INTELLIGENCE (from 2011) are trying to prevent us, to show us what is going to happen if we go forward, what battles we will have by not stopping to create this intelligent robots. So let’s say stop in time, let’s say stop to robots like Sophia that can take place at our jobs, that can take place of humanity. Let’s not say stop to technology that uses AI, technology that can make our jobs much easier, our lives much easier, not our places.