Artificial intelligence (AI) should be democratized to assist more with peopling understand it and embrace its potential; We have to create guidelines for AI that are agile and adapt to this quickly advancing innovation; A focus on "Trustworthy AI" offers a promising model for advancement and the administration of AI. Artificial intelligence (AI) has gained widespread attention in recent years. Artificial intelligence is seen as a vital innovation to lead us into what's to come. However, while academics, industry leaders and policy-makers alike, I have watched some growing concerns around the vulnerability of this technology. In my observation, these concerns can be categorized into three perspectives: Many people lack a full understanding of AI and therefore are more likely to view it as a nebulous cloud instead of a powerful driving force that can create a lot of value for society; Some companies or individuals worry that they will fall behind as AI becomes more prevalent; As is often the case with new technology, AI is increasingly used despite policy and regulation being behind the pace. It is understandable that people might have these concerns at this moment in time and we need to face them. As long as we do, I believe we don’t need to panic about AI and that society will benefit from embracing it. I propose we address these concerns as follows: 1. We should democratize AI Instead of writing off AI as too complicated for the average person to understand, we should seek to make AI accessible to everyone in society. It shouldn’t be just the scientists and engineers who understand it; through adequate education, communication and collaboration, people will understand the potential value that AI can create for the community. 2. In AI no one will be “left behind” We should democratize AI, meaning that the technology should belong to and benefit all of society; and we should be realistic about where we are in AI’s development. We have made a lot of progress in AI. But if we think of it as a vast ocean, we are still only walking on the beach. Most of the achievements we have made are, in fact, based on having a huge amount of (labelled) data, rather than on AI’s ability to be intelligent on its own. Learning in a more natural way, including unsupervised or transfer learning, is still nascent and we are a long way from reaching AI supremacy. From this point of view, society has only just started its long journey with AI and we are all pretty much starting from the same page. To achieve the next breakthroughs in AI, we need the global community to participate and engage in open collaboration and dialogue. 3. We should take an agile approach to the governance of AI We can benefit from AI innovation while we are figuring out how to regulate the technology. Let me give you an example: Ford Motor produced the Model T car in 1908, but it took 60 years for the US to issue formal regulations on the use of seatbelts. This delay did not prevent people from benefitting significantly from this form of transportation. At the same time, however, we need regulations so society can reap sustainable benefits from new technologies like AI and we need to work together as a global community to establish and implement them. By addressing the aforementioned concerns people may have regarding AI, I believe that “Trustworthy AI” will provide great benefits to society. There is already a consensus in the international community about the six dimensions of “Trustworthy AI”: fairness, accountability, value alignment, robustness, reproducibility and explainability. While fairness, accountability and value alignment embody our social responsibility; robustness, Reproducibility and explainability pose massive technical challenges to us. “Trustworthy AI” innovation is a marathon, not a sprint. If we are willing to stay the course and if we embrace AI innovation and regulation with an open, inclusive, principle-based and collaborative attitude, the value AI can create could far exceed our expectations. I believe that the next generation of the intelligence economy will be forged in trust and differentiated by perspective. As Union Budget 2020 is around the corner, all the business chiefs and people are eagerly waiting to hear something beneficial. Every year, at the same time, expectations of the industry leaders and shoppers from the government on the taxes and others take a flight. A year ago, the financial backing centers around diminishing red tapism, utilizing innovation, building social foundation, digital India, pollution free India, Make In India, work creation in Micro, Small and Medium Enterprises (MSMEs) and putting vigorously in framework. For the Union Budget 2020, PM Modi encouraged common people to share their expectations from the upcoming budget In the middle of a huge economy slowdown where India’s GDP growth is crashing for the first time in eleven years 2019-20. Government is making efforts to rejuvenate the economy. According to the financial conditions each part is anticipating Union Budget 2020. BW Businessworld accumulated a list of expectations from the ventures: Here are a portion of the key desires from the industries: Sachin Dev Duggal, Co-founder and CEO, Engineer.ai "In this digitally-driven decade, apps are set to become the backbone of every business across the globe, especially those in India. Therefore, a budget that is easier on the pockets of individuals and small-to-medium businesses will allow for more investment in digitalisation, ergo leading to higher consumer spends in terms of sales, subscriptions, ad-free versions and so on. By large, this should make the entire Indian ecosystem generate more revenue and jobs in the technology sector" Tarun Chugh, MD & CEO, Bajaj Allianz Life Collectively as an industry, we do see a lack of parity in the tax treatment of pension products of life insurance companies and pension products under National Pension Scheme (NPS). Both the products have similar objective of building long term savings for meeting retirement goals, hence, this disparity should be addressed by the government in the Union Budget 2020. Further, in order to enable customers to see life insurance beyond a tax saving tool and invest in it to fulfil their long term financials goals, the government should either consider a separate deduction section or enhance to limit under Section 80C of Income Tax Act, 1961, to INR 3,00,000, since the current limit of INR 1,50,000 is too low to cater to all the contributions it covers. Tabby Bhatia, Founder & Director of Voganow.com We believe that allowing standard operating procedures for MSMEs will involve easy steps to access credit and boost the Indian market. This time we are having huge expectations from the government to bring business-friendly policies and tax reformations to boost this sector and economy since MSMEs are contributing the most in creating millions of jobs and accounting for a major portion of the country’s manufacturing outfit and exports.Also, we are also hoping that government will make some good and big announcements towards the success of ‘Make in India’ initiative. Read full article @ www.businessworld.in/article/What-Industry-Leaders-Are-Expecting-From-Union-Budget-2020/27-01-2020-182794/ At Facebook, Stan Chudnovsky oversees the Messenger chat app that is utilized by well more than 1 billion individuals every month. He's playing a key role in helping Facebook integrate that app with its other chat tools, WhatsApp and Instagram Direct. The massive project has already gotten pushback from regulators worried about Facebook's size and power. Government officials also worry about Facebook's plans to extend end-to-end encryption to Messenger. Once that happens, Facebook wouldn't be able to respond to law enforcement subpoenas because it wouldn't have a way to unscramble messages. Chudnovsky, who moved to the US from Russia in 1994, joined Facebook in 2015. He spoke with The Associated Press recently about his work and views on privacy. Questions and answers have been edited for length and clarity. Q: What are the biggest roadblocks in bringing end-to-end encryption? A: It's technologically hard to move from the system that is alive and functioning and has billions of messages being sent every day to where it's done completely differently architecturally. We also need to figure out how to do as much as we can on safety, while being the leaders on privacy. We are trying to go through that process slowly and very responsibly while talking to everyone. Most messages in the US, where (Apple's) iMessage is leading, are already end-to-end encrypted. We want to make sure that we get to the point when we lead very strongly and we do as much on safety as we possibly can given the constraints of end-to-end encryption. Q: How do you ensure that people are safe when you can't see bad things people are doing? A: We are going to continue to work very closely with law enforcement on whatever we can provide. We also have connectivity to social networks. Whoever is a bad player on social networks, we will be able to see if those bad players exist on messaging services. I don't want to go into details on how we are thinking about approaching that stuff. But we're just going to invest heavily in identifying threats earlier, Q: You can send things in a private message that you can't post on Facebook, right? A: Definitely. You should be able to send whatever you want to send in a private message. Q: What if it's illegal or hurting someone? A: Generally we believe that conversation between people should be private. We don't make a difference between the conversations that are happening in the living room or on the phone and conversations that are happening in a private chat. Q: What if you try to sell a gun, despite Facebook's ban? A: If you're trying to sell a gun, you are probably trying to sell a gun to many people. When someone reports that and someone provides the messages that from the point of that person are illegal, then definitely we will be able to look at that. Q: What are the biggest things that you have to figure out before interoperability becomes reality? A: Generally, just a features compatibility in the sense that, if I “like” some message on one app, how does it manifest itself in another? Or will I be able to also call people, not only send messages? Q: Do you think scrutiny of Facebook will ease any time soon? A: We have a lot of responsibility. And the criticism, sometimes it's accurate. Sometimes it's not accurate. At the end of the day, what it means if everyone's talking about you positively or negatively or both, is that you're important. We just need to continue to deliver value to people. And as long as we are building products that people like. I think it's going to be fine. While there is a more prominent push towards automating each business procedure, an incremental approach towards "human-assisted AI" for customer relations and interaction is ready to yield more significant results than complete automation, in many cases Overtime the interaction between technology and humans has evolved to the extent that today we depend on technology for everything - work, shop, interact, explore, entertainment, education and the list goes on. As technology evolves, we will further allow it to invade our lives, both personal and professional. Hence, technology will continue to alter the ways we do our tasks, and will also be a defining factor of who will do the job. In fact, as a consumer, we are already surrounded by AI-enabled services which many brands are adopting swiftly for a competitive edge. Resultantly, technology is representing the brand in front of its customers more often now. Undeniably, with the advent of advanced technology such as AI (Artificial Intelligence) the demand for automated service and products is on the rise in both, consumer and B2B markets. While there is a greater push towards automating every business process, an incremental approach towards "human-assisted AI" for customer relations and interaction is poised to yield more significant results than complete automation, in many cases. Human assisted-AI is when a person interacts with AI to make any process or task more accurate and relevant, confining to the brand/company objectives. For example, while utilising a cab service from Uber or Ola, a consumer gets access to a GPS enabled cab with the driver. The driver can follow the route indicated on the map to reach the consumer's destination. However, in case of any obstruction on the way like road close down due to some construction or road accident, the cab driver is the best judge to use the same GPS to find an alternative route to ensure that the trip is completed within stipulated timeline delivered by the service provider (Uber or Ola). The ultimate goal of any firm, with or without technology intervention, is to either build great products and/or enhance their service to strengthen their relationship with their consumers. A study by IBM suggests that 76% of customers expect brands to understand their individual needs and 68% of the customers hope that firms will harmonise consumer experience. Therefore, brands must adjust their faith in technology to work in sync with their employees to understand the individual requirements of customers and respond accordingly. Further, human-assisted AI can be used innovatively to achieve dual agenda of disrupting an industry and redefining customer delight. For instance, building a bespoke mobile app or website has never been this exciting and economical as it is in the era of human-assisted AI. A new set of firms has emerged to disrupt the software development market that is a confluence of the best abilities of AI-enabled processes as well as human capabilities. AI enables the firm to understand the product development requirement and source the frame or codes that are readily available for FOC. For the codes to be written afresh, developers are involved in studying, coding and bridge the gap to produce the desired product for the customers. This empowers the consumers/businesses to build highly customized products within desired timelines and at a reasonable cost. Embracing AI technology is inevitable, but the understanding of how to leverage AI is a critical aspect. Allocating tasks to employees and machines to achieve company objectives will define the success rate of deploying the technology. A study undertaken by Harvard School of Business revealed that companies in which humans and machines worked together were able to produce better results. The institute also observed that the companies which see technology as a replacement of employees would only see "short-term productivity gains." In this regard, human-assisted AI will evolve and expand into a segment which will have a significant contribution towards the growth of any company. The author is Sachin Dev Duggal, CEO & Founder of Engineer.ai Microsoft co-founder Bill Gates has been attempting to improve the condition of worldwide wellbeing through his nonprofit foundation for 20 years, and today he told the nation’s premier scientific gathering that propels in artificial intelligence and gene editing could accelerate those enhancements exponentially in the years ahead. "We have an open door with the advance of tools like artificial intelligence and gene-based editing technologies to fabricate this new age generation of health solutions so they are available to everybody on the planet. Furthermore, I'm very excited for this," Gates said in Seattle during a keynote address at the annual meeting of the American Association for the Advancement of Science. Such tools promise to have a dramatic impact on several of the biggest challenges on the agenda for the Bill & Melinda Gates Foundation, created by the tech guru and his wife in 2000. When it comes to fighting malaria and other mosquito-borne diseases, for example, CRISPR-Cas9 and other gene-editing tools are being used to change the insects’ genome to ensure that they can’t pass along the parasites that cause those diseases. The Gates Foundation is investing tens of millions of dollars in technologies to spread those genomic changes rapidly through mosquito populations. Millions more are being spent to find new ways fighting sickle-cell disease and HIV in humans. Gates said techniques now in development could leapfrog beyond the current state of the art for immunological treatments, which require the costly extraction of cells for genetic engineering, followed by the re-infusion of those modified cells in hopes that they’ll take hold. For sickle-cell disease, “the vision is to have in-vivo gene editing techniques, that you just do a single injection using vectors that target and edit these blood-forming cells which are down in the bone marrow, with very high efficiency and very few off-target edits,” Gates said. A similar in-vivo therapy could provide a “functional cure” for HIV patients, he said. The rapid rise of artificial intelligence gives Gates further cause for hope. He noted that that the computational power available for AI applications has been doubling every three and a half months on average, dramatically improving on the two-year doubling rate for chip density that’s described by Moore’s Law. One project is using AI to look for links between maternal nutrition and infant birth weight. Other projects focus on measuring the balance of different types of microbes in the human gut, using high-throughput gene sequencing. The gut microbiome is thought to play a role in health issues ranging from digestive problems to autoimmune diseases to neurological conditions. “This is an area that needed these sequencing tools and the high-scale data processing, including AI, to be able to find the patterns,” Gates said. “There’s just too much going on there if you had to do it, say, with paper and pencil to understand the 100 trillion organisms and the large amount of genetic material there. This is a fantastic application for the latest AI technology.” Similarly, “organs on a chip” could accelerate the pace of biomedical research without putting human experimental subjects at risk. “In simple terms, the technology allows in-vitro modeling of human organs in a way that mimics how they work in the human body,” Gates said. “There’s some degree of simplification. Most of these systems are single-organ systems. They don’t reproduce everything, but some of the key elements we do see there, including some of the disease states — for example, with the intestine, the liver, the kidney. It lets us understand drug kinetics and drug activity.” The Gates Foundation has backed a number of organ-on-a-chip projects over the years, including one experiment that’s using lymph-node organoids to evaluate the safety and efficacy of vaccines. At least one organ-on-a-chip venture based in the Seattle area, Nortis, has gone commercial thanks in part to Gates’ support. High-tech health research tends to come at a high cost, but Gates argues that these technologies will eventually drive down the cost of biomedical innovation. He also argues that funding from governments and nonprofits will have to play a role in the world’s poorer countries, where those who need advanced medical technologies “essentially have no voice in the marketplace.” “If the solution of the rich country doesn’t scale down … then there’s this awful thing where it might never happen,” Gates said during a Q&A with Margaret Hamburg, who chairs the AAAS board of directors. But if the acceleration of medical technologies does manage to happen around the world, Gates insists that could have repercussions on the world’s other great challenges, including the growing inequality between rich and poor. “Disease is not only a symptom of inequality,” he said, “but it’s a huge cause.” Other tidbits from Gates’ talk:
Sachin Dev Duggal is a serial entrepreneur, founding Engineer.ai in 2012 as a solution to the long and expensive process of app and software development. Prior to this, he founded technology companies Shoto and Nivio. Engineer.ai is a technology company that is re-shaping how bespoke software is built, driven by the belief that everyone should have the opportunity to see their business idea come to fruition, without huge investments of funding, time and technical knowledge. Monday I wake up most mornings at 6:30am. This morning, I wake up even earlier due to the cries of my three-month-old daughter, Samanäya. As I pick her up from her crib and rock her back to sleep, I can hear my phone buzz a million times a second from across the house. With Sam in one hand, I begin to skim through the many emails I’ve received in the last six hours. I don’t even bother checking Slack at this point because messages, from engineering to marketing, run into three digits there in a matter of hours. I run a global organisation, so work never stops. The Indian office is in full swing by now. Meetings are lined up from 9:30am to 6:30pm and a lunch break seems like a far-fetched dream at this point. I put Sam back to bed and get on my laptop. The rest of the morning is spent catching up on emails, going to the gym, having breakfast with family, doing the school run with my three-year-old son, Aramnäya, and more meetings, emails and messages. The day is spent revisiting the previous week and planning the one ahead. We also have the formidable annual review coming up since the end of the year is near. But despite all the chaos, at the end of the day, I feel grateful for everything – the opportunities that I’ve been given to create something meaningful, my entire team at Engineer.ai who make it happen, and my family, of course. Tuesday I got a fortunate four hours of sleep last night. Today, over breakfast, I’m reading “Click, Clack, Moo. Cows That Type” to my son. He loves the cows that type away, much to Farmer Brown’s dismay. I don’t like noisy typers myself, so this story book is enjoyed by both my son and myself equally. The rest of the day flies past with meetings and PR interviews. I wrap up at 6:30pm sharp and head to my kickboxing class. This is my sacred hour and some of the best ideas have come to me during this time. After my class, I head home. 7:30pm to 10:00pm is strictly family time. Post dinner, there’s story time again and off to bed my kids go. Many hugs and kisses and goodnights later, I’m back at it. My day hasn’t ended. I’ve got another 4 hours of calls lined up with the leadership of my organisation. Wednesday We are doing a front page ad campaign with the Times of India, the second-largest selling English-language daily newspaper in the world, for two of our products – Builder Studio and Builder Cloud. There’s a lot of planning that goes into nailing the segmentation and targeting, messaging, call to action, lead capture and so forth. So, I’m flying to India today. I get off the 9-hour flight and head straight to work. I won’t be getting much sleep for the next 48 hours. At about 8pm, I leave from office to catch dinner with my mum. This is the best part of my trip! As soon as dinner is done, I head back to work for late night meetings with the product team. We wrap up by 1:30am and everyone seems satisfied with how much we got done. Thursday I’m up bright and early this morning despite sleeping late last night, thanks to jetlag. I go for a jog and then head to work. I walk in at 8:00am and there isn’t a soul to be seen, but that’s on me. I’ve always been the first one in, last one out and the habit just doesn’t leave me. I’ve never quite been able to segregate “work” time from “non-work” time. My mind just doesn’t work that way. I spend my day (including lunch hour) in operations, marketing, sales, PR and finance catch-ups, and believe me, in a fast-scaling global organisation like Engineer.ai, there is enough to discuss. We also finalised the nitty-gritty of our upcoming campaign and with that, my trip to India officially concluded, albeit with another late night. Friday I took a late flight last night back to London, walking onto the plane on a conference call, so I can attend my son’s first play. I manage to catch some sleep on the flight. In school, Aramnäya walked onto stage first (his eyes searching for his mother and I). My heart melted and suddenly all the craziness this past week made sense. The headteacher came to me to thank me for the lights, and I, at the back of my mind, thought of my wonderful assistant, Alessia, who just made magic happen. I wrap up work early today, so we can go out for a little celebratory family dinner. No more emails, meetings, calls, or messages for the day. I put my phone away. Tonight is about love, gratitude, and family. Regal Dutch Shell PLC is expanding an online program that teaches its workers artificial intelligence abilities, part of an effort to reduce expenses, improve business processes and generate revenue. The Anglo-Dutch oil organization, which has around 82,000 workers, said around 2,000 have communicated enthusiasm for or have approached by management about taking AI courses through online-education company Udacity Inc. They petroleum engineers, chemists and geophysicists, among others. The courses are voluntary, not required, and representatives can finish them at their own pace during work hours, Shell said. The oil organization takes care of the cost of the training. Shell has a broader strategy to embed AI across its operations, a move that has helped the oil giant lower costs and avoid downtime. Other oil-and-gas companies that have tapped AI to improve operations and reduce costs include Exxon Mobil Corp., BP PLC and Chevron Corp. “Artificial intelligence enables us to process the vast quantity of data across our businesses to generate new insights which can keep us ahead of the competition,” said Yuri Sebregts, Shell’s chief technology officer, in an email. The initiative at Shell expands a 2019 yearlong pilot program with Udacity, based in Mountain View, Calif., that included about 250 Shell data scientists and software engineers. They picked up AI skills such as reinforcement learning, a type of machine learning where algorithms learn the correct way to perform an action based on trial-and-error and observations. Shell employees could use AI expertise, for example, to better predict equipment failures and automatically identify areas within a facility to reduce carbon emissions, said Dan Jeavons, Shell’s general manager of data science. Machine-learning algorithms could also help Shell better process seismic data, or data about geological rock formations underground, which could ultimately speed up the time it takes to assess decisions about where to drill, he said. “Technology is moving so quickly that if you’re not continually training your people, you’re going to get out of date,” Mr. Jeavons said. The company declined to disclose how much money it is spending on training, but Mr. Jeavons said it is a “material and strategic investment.” Businesses pay for Udacity courses under an annual software licensing model. Prices depend on the length and customization of the course. The classes that Shell employees are pursuing, dubbed “nanodegrees,” cost $400 month on average when they are purchased by individual consumers, said Udacity Chief Executive Gabe Dalporto. The company declined to disclose its enterprise price structure. Udacity’s courses for corporate employees are expected to be its largest business this year, Mr. Dalporto said, adding that enterprise interest in Udacity’s AI courses has “exploded” over the past two years. Other enterprise clients include Airbus SE, Ford Motor Co. and AT&T Inc. “Any Fortune 500 company is realizing that AI is going to be disruptive,” said Sebastian Thrun, Udacity’s founder, president and executive chairman. Mr. Thrun also is the founder of Alphabet Inc.’s research arm X and Google’s self-driving efforts. Shell employees can sign up for nanodegrees in subfields of artificial intelligence such as reinforcement learning, computer vision, data analysis and natural language processing, in which algorithms are used to extract meaning from users’ requests. The courses are project-based and can last as long as six months. People who have completed the courses can list themselves as “Udacity nanodegree alumni” on professional networking site LinkedIn. The educational initiative comes as Shell works to transform itself into a lower-carbon business while facing difficult market conditions. Shell has said it expects oil and gas to remain its core business, but it aims to be the world’s largest electric power company by the early 2030s. If you ever propelled an application, Builders, you've likely had the experience of waiting by to perceive how many downloads you get. The perfect situation? Somewhere down the line after your release, you arrive at 1 million installs. Actually quite difficult, you may be thinking, yet there are actionable steps you can take to increase your chances of reaching at this objective. What would you be able to do to get this going for your application, Builders by Engineer.ai ? Let’s take a look. Step 1: Make sure it works well This should be a given, but unfortunately that is not always the case. While it is nearly impossible to build an app totally devoid of glitches, the more important part is that when glitches do come up, they are proactively addressed. QC during the monitoring stage of your release should be a priority. In addition to monitoring the actual functionality of your app, make sure you monitor the conversation around it, as well. Disgruntled users will be vocal, and you want to step in as soon as possible to address their issues. Again, glitches aren’t the problem— not dealing with them is and this one step alone can take you a long way towards Step 2: Dialogue with happy users Yes, disgruntled users may be vocal, but happy users can be just as forthright about their experiences. Users that have had a satisfying experience with your app will be happy to share it. This positive sentiment needs to be disseminated tactically in order to hit 1 million installs. Create a dialogue in social media and blog posts and reach out to users, asking them to share their experiences. You can also integrate CTAs within the app asking for reviews (e.g. pop-ups.) Even better: Incentivise it!. You can offer discounts or bonuses within a game, as an example, in exchange for reviews. Angry users are going to speak out, but happy ones may just need this bit of encouragement. Step 3: Know how your platform’s store works A key factor in getting downloads is moving up in the rankings in your platform’s store. Do you know how rankings in your store work, though? Consider all of the following: 1. Does social affect my app’s ranking? 2. How do keywords work in the platform store? 3. Can I change the description? 4. What about metadata? Is there an approval process? All of these need to be considered in order to optimise your app’s performance in the app store. No eyes on your app means far fewer chances of garnering downloads. Step 4: Continue the conversation on social Social has long been a reliable way to increase brand exposure and relevance. By sharing stories and posts via social, you keep yourself at the center of conversations in your space and increase the likelihood of users sharing your products with new customers. More and more often, however, social is acting as a customer service space. Complaints or questions in a comment chain need to be addressed, and they need to be addressed quickly. This is one of the most important ways in which you can show that you have your users’ best interests at heart… and a product of integrity. Step 5: Personalize your brand via blog posts Blog posts are still a relevant way to increase traffic and conversions. As with social, they keep you part of the conversation, and they are also a great way to improve your SEO, so that you show up higher in the rankings when users search for terms related to your app. Make sure to include a direct download link in your content and leverage linkbacks to help with SEO. Getting to 1 million downloads is a big goal, but doing the hard work can get you closer. Keep your social media channels alive, post regularly, and ensure that your app continues to perform optimally in the long term. What do you think, Builders by Engineer.ai ? How are you optimising your app to maximise downloads? You can let us know on our social media channels on Instagram, Facebook, Twitter, and LinkedIn. With an emphasis on interactive learning and creating personalised education model, artificial intelligence is relied upon to make education progressively effective and fun, writes Sachin Dev Duggal. In recent years, innovation has changed the manner in which we see the reality of our world. Be it associating with individuals over the world via social media, shopping garments from an online store or having food supplies conveyed directly at our doorstep, today, human endurance sans innovation is simply unimaginable. Through these years, science fiction, authors, futurists, and movie makers the same have additionally been foreseeing the astonishing (and some of the time disastrous) changes that will emerge with advent of widespread artificial intelligence (AI) – saw as the 'subsequent stage in human development'. Those not so much acquainted with AI may imagine a future loaded with robots that behave like humans. However, in truth,, AI is nothing but advanced algorithms assisting machines in impersonating human behaviour, particularly in excess errands across industries. With so broad an impact, education makes certain to be touched by AI but the question is how? AI capabilities matter Artificial intelligence has made inroads into our lives and is transforming the way we execute the simplest of tasks, regularly. Based on user history, experiences or current usage pattern displays, AI can fulfill a myriad of demands for multiple users. It rests heavily upon profound learning principles and NLP (natural language processing techniques), wherein machines can read large amounts of data and process it to produce appropriate output, without needing any user intervention. Artificial intelligence involves the sophisticated application of smart algorithms to provide results and even, the ability to read the user intention for future implementation. Some critical aspects of AI are expert systems, speech recognition, and machine vision, apart from deep learning and NLP. Hence, it has emerged as the most capable choice to automate several administrative tasks, which otherwise involves layers of human intervention for businesses and key economic sectors, impacting the ROI drastically. Transforming education Encompassing and influencing the working models across sectors such as retail, banking and finance, healthcare, security and among others, AI is offering robust support for even deeper application in the education industry. From classroom teaching to textbook-based syllabus and even the simple grading system, it has the power to evolve the way education is being imparted. The technology can overhaul the individual learning journeys and turn them more – personalised, predictive, efficient and effective. Since education has been proven to be more impactful through practical application, AI will register a noteworthy contribution by customised availability of content via cloud capabilities, free plug-ins, and extensions to access information, in the language, they understand the best. Pushing the traditional pedagogies and bidding adieu to on-paper practices, AI will contribute by interacting with the learners through latest technological means such as customised user interfaces, applications, interactive bots, or even individualised learning aids that include earplugs or wearable gadgets. Smart tutoring systems powered by AI principles will speed up the learning and application process 10 times as against what is taught via the blackboard, today. Course curricula will also undergo significant changes, leading to the delivery of more personalised learning experience for students. Collection and availability of student data will also help in customising lessons based on every learner’s individual capability to grasp a new concept. The penetration of Artificial Intelligence in the education industry will help in setting necessary expectations on teacher’s accountability in improving learners’ knowledge. It will suggest appropriate ways to gain knowledge depending upon students’ abilities, breaking away from the traditional teaching approach of ‘one size fits all’. Tech invasion in future education By 2025, application of AI in the learning and education sector will increase by around 47% (as per latest research by market research firm Research and Markets). Considering the global shift towards technological dependencies, newer challenges in learning and human limitations will further amplify the scope of AI across the globe. It will help bring the global education industry under a single umbrella for all learning needs |