Dear Aravind sir, Yes, I agree that AI cannot replace human intelligence in a broad manner. But there will be specific areas where it will be much superior (as you know the Google AI computer recently defeated the world champion in the GO game (http://www.bbc.com/news/technology-40042581). "It is considered to be one of the world's most complex games, and is much more challenging for computers than chess."
AI will be introduced in all fields ... including in education... In education, companies will use AI to try and reduce the role of teachers. The challenge as I mentioned is that education is to enable learners to decide what their future/life will be ... and this cannot be (practically) and should not be (normatively) determined by past data/incidents/events which is the process of AI... So teachers, teacher educators and educationists should be very critical of and resist AI in education .... warm regards, Guru (ITfC also misses you and all the teachers/workshops and fun we had in the STF-KOER programs!!). Inshallah we will have opportunities some day to continue the interactions in physical meetings, till which time, we can keep sharing/learning/interacting virtually on these forums! IT for Change, Bengaluru www.ITforChange.net On Mon, Jun 26, 2017 at 2:27 PM, aravind navalli <aravindnava...@gmail.com> wrote: > As far as I am concerned AI will not overtake the human intelligence for > many more years to come, Whatever they think cyborgs skynets or anything > to come in future will never ever overtake human intelligence. it maybe a > game which a computer can win but not the humanity. technology trying its > best to come nearer to Human technology. it can come nearer to human > technology but will never equal it. it may have sensors but can never have > a extra sense ability like humans. lastly AI can predict humans bersonality > but will never ever be perfect because human technology is far far better > than AI. > > with regards, > > (Missing ITFC team very much) > > > On Monday, 26 June 2017 11:55:12 UTC+5:30, itfc.stfkoer wrote: >> >> Dear teachers, >> >> Greetings on Eid-Ul-Fitr. >> >> Though the article below is mostly about economics, education will also >> be impacted greatly. >> >> In the area of education, AI / Big data will come through 'personal >> analytics' in which student assessment data on large scale will be analysed >> to 'predict' individual student learning methods/outcomes and based on >> that, the 'teacher' will be 'advised' on content and pedagogy. Like in >> many other professions, this will result in de-skiling teaching. >> >> This will need to be challenged by questioning if individual learning >> possibilities can ever be predicted... since it hits at the root of learner >> agency. If developing abilities for creating new life possibilities is one >> of the important aims of education, then relying on the past alone will >> restrict this aim.... >> >> But this is clearly an issue which educationists need to start thinking >> about and creating responses/positions, before the school managements / >> education systems eagerly welcome such possibilities, that the Google's of >> the world will offer.... of control of teaching-learning. Overall, a >> political response will be required to regulate/direct these technological >> trends. >> >> Comments, feedback welcome. >> >> regards, >> Guru >> >> >> Source - https://www.nytimes.com/2017/06/24/opinion/sunday/artificial >> -intelligence-economic-inequality.html?action=click& >> pgtype=Homepage&version=Moth-Visible&moduleDetail=inside- >> nyt-region-1&module=inside-nyt-region®ion=inside-nyt-r >> egion&WT.nav=inside-nyt-region >> >> By KAI-FU LEEJUNE 24, 2017 >> >> BEIJING — What worries you about the coming world of artificial >> intelligence? >> >> Too often the answer to this question resembles the plot of a sci-fi >> thriller. People worry that developments in A.I. will bring about the >> “singularity” — that point in history when A.I. surpasses human >> intelligence, leading to an unimaginable revolution in human affairs. Or >> they wonder whether instead of our controlling artificial intelligence, it >> will control us, turning us, in effect, into cyborgs. >> >> These are interesting issues to contemplate, but they are not pressing. >> They concern situations that may not arise for hundreds of years, if ever. >> At the moment, there is no known path from our best A.I. tools (like the >> Google computer program that recently beat the world’s best player of the >> game of Go) to “general” A.I. — self-aware computer programs that can >> engage in common-sense reasoning, attain knowledge in multiple domains, >> feel, express and understand emotions and so on. >> >> This doesn’t mean we have nothing to worry about. On the contrary, the >> A.I. products that now exist are improving faster than most people realize >> and promise to radically transform our world, not always for the better. >> They are only tools, not a competing form of intelligence. But they will >> reshape what work means and how wealth is created, leading to unprecedented >> economic inequalities and even altering the global balance of power. >> >> It is imperative that we turn our attention to these imminent challenges. >> >> What is artificial intelligence today? Roughly speaking, it’s technology >> that takes in huge amounts of information from a specific domain (say, loan >> repayment histories) and uses it to make a decision in a specific case >> (whether to give an individual a loan) in the service of a specified goal >> (maximizing profits for the lender). Think of a spreadsheet on steroids, >> trained on big data. These tools can outperform human beings at a given >> task. >> >> This kind of A.I. is spreading to thousands of domains (not just loans), >> and as it does, it will eliminate many jobs. Bank tellers, customer service >> representatives, telemarketers, stock and bond traders, even paralegals and >> radiologists will gradually be replaced by such software. Over time this >> technology will come to control semiautonomous and autonomous hardware like >> self-driving cars and robots, displacing factory workers, construction >> workers, drivers, delivery workers and many others. >> >> Unlike the Industrial Revolution and the computer revolution, the A.I. >> revolution is not taking certain jobs (artisans, personal assistants who >> use paper and typewriters) and replacing them with other jobs >> (assembly-line workers, personal assistants conversant with computers). >> Instead, it is poised to bring about a wide-scale decimation of jobs — >> mostly lower-paying jobs, but some higher-paying ones, too. >> >> This transformation will result in enormous profits for the companies >> that develop A.I., as well as for the companies that adopt it. Imagine how >> much money a company like Uber would make if it used only robot drivers. >> Imagine the profits if Apple could manufacture its products without human >> labor. Imagine the gains to a loan company that could issue 30 million >> loans a year with virtually no human involvement. (As it happens, my >> venture capital firm has invested in just such a loan company.) >> >> We are thus facing two developments that do not sit easily together: >> enormous wealth concentrated in relatively few hands and enormous numbers >> of people out of work. What is to be done? >> >> Part of the answer will involve educating or retraining people in tasks >> A.I. tools aren’t good at. Artificial intelligence is poorly suited for >> jobs involving creativity, planning and “cross-domain” thinking — for >> example, the work of a trial lawyer. But these skills are typically >> required by high-paying jobs that may be hard to retrain displaced workers >> to do. More promising are lower-paying jobs involving the “people skills” >> that A.I. lacks: social workers, bartenders, concierges — professions >> requiring nuanced human interaction. But here, too, there is a problem: How >> many bartenders does a society really need? >> >> The solution to the problem of mass unemployment, I suspect, will involve >> “service jobs of love.” These are jobs that A.I. cannot do, that society >> needs and that give people a sense of purpose. Examples include >> accompanying an older person to visit a doctor, mentoring at an orphanage >> and serving as a sponsor at Alcoholics Anonymous — or, potentially soon, >> Virtual Reality Anonymous (for those addicted to their parallel lives in >> computer-generated simulations). The volunteer service jobs of today, in >> other words, may turn into the real jobs of the future. >> >> Other volunteer jobs may be higher-paying and professional, such as >> compassionate medical service providers who serve as the “human interface” >> for A.I. programs that diagnose cancer. In all cases, people will be able >> to choose to work fewer hours than they do now. >> >> Who will pay for these jobs? Here is where the enormous wealth >> concentrated in relatively few hands comes in. It strikes me as unavoidable >> that large chunks of the money created by A.I. will have to be transferred >> to those whose jobs have been displaced. This seems feasible only through >> Keynesian policies of increased government spending, presumably raised >> through taxation on wealthy companies. >> >> As for what form that social welfare would take, I would argue for a >> conditional universal basic income: welfare offered to those who have a >> financial need, on the condition they either show an effort to receive >> training that would make them employable or commit to a certain number of >> hours of “service of love” voluntarism. >> >> To fund this, tax rates will have to be high. The government will not >> only have to subsidize most people’s lives and work; it will also have to >> compensate for the loss of individual tax revenue previously collected from >> employed individuals. >> >> This leads to the final and perhaps most consequential challenge of A.I. >> The Keynesian approach I have sketched out may be feasible in the United >> States and China, which will have enough successful A.I. businesses to fund >> welfare initiatives via taxes. But what about other countries? >> >> They face two insurmountable problems. First, most of the money being >> made from artificial intelligence will go to the United States and China. >> A.I. is an industry in which strength begets strength: The more data you >> have, the better your product; the better your product, the more data you >> can collect; the more data you can collect, the more talent you can >> attract; the more talent you can attract, the better your product. It’s a >> virtuous circle, and the United States and China have already amassed the >> talent, market share and data to set it in motion. >> >> For example, the Chinese speech-recognition company iFlytek and several >> Chinese face-recognition companies such as Megvii and SenseTime have become >> industry leaders, as measured by market capitalization. The United States >> is spearheading the development of autonomous vehicles, led by companies >> like Google, Tesla and Uber. As for the consumer internet market, seven >> American or Chinese companies — Google, Facebook, Microsoft, Amazon, Baidu, >> Alibaba and Tencent — are making extensive use of A.I. and expanding >> operations to other countries, essentially owning those A.I. markets. It >> seems American businesses will dominate in developed markets and some >> developing markets, while Chinese companies will win in most developing >> markets. >> >> The other challenge for many countries that are not China or the United >> States is that their populations are increasing, especially in the >> developing world. While a large, growing population can be an economic >> asset (as in China and India in recent decades), in the age of A.I. it will >> be an economic liability because it will comprise mostly displaced workers, >> not productive ones. >> >> So if most countries will not be able to tax ultra-profitable A.I. >> companies to subsidize their workers, what options will they have? I >> foresee only one: Unless they wish to plunge their people into poverty, >> they will be forced to negotiate with whichever country supplies most of >> their A.I. software — China or the United States — to essentially become >> that country’s economic dependent, taking in welfare subsidies in exchange >> for letting the “parent” nation’s A.I. companies continue to profit from >> the dependent country’s users. Such economic arrangements would reshape >> today’s geopolitical alliances. >> >> One way or another, we are going to have to start thinking about how to >> minimize the looming A.I.-fueled gap between the haves and the have-nots, >> both within and between nations. Or to put the matter more optimistically: >> A.I. is presenting us with an opportunity to rethink economic inequality on >> a global scale. These challenges are too far-ranging in their effects for >> any nation to isolate itself from the rest of the world. >> --- >> >> Kai-Fu Lee is the chairman and chief executive of Sinovation Ventures, a >> venture capital firm, and the president of its Artificial Intelligence >> Institute. >> >> >> Guru >> IT for Change, Bengaluru >> www.ITforChange.net >> >> -- > 1. Webpage for this HindiSTF is : https://groups.google.com/d/ > forum/hindistf > 2. For doubts on Ubuntu and other public software, visit > http://karnatakaeducation.org.in/KOER/en/index.php/ > Frequently_Asked_Questions > 3. 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