How Can Ai Help In Quality Education?


How Can Ai Help In Quality Education
The benefits and challenges of AI – Artificial intelligence can help students learn better and faster when paired with high-quality learning materials and instruction. AI systems can also help students get back on track faster by alerting teachers to problems the naked eye cannot see.

  1. In some cases, such as automated essay scoring, teachers and students do not directly experience the benefits of the tools.
  2. Rather, the state grades the exams in a faster, more efficient manner.
  3. In other cases, teachers are the direct beneficiaries.
  4. Scholars, such as Scott Crossley at Georgia State University, are experimenting with ways that natural language processing-based assessments can be embedded into writing programs so that teachers can get data reports on their students’ writing quality.14 Despite these benefits, there are clear concerns.

One major issue is around privacy. How do these tools protect user privacy? How do schools gain consent of both students and parents when introducing them? Should data that have been anonymized be shared with researchers and other external groups? Another issue is the value of social and emotional ties and the very human experience of education.
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How can AI provide quality education?

Artificial Intelligence in education Artificial Intelligence in Education has become a hot topic because it changes how we learn quickly. So what does this mean for children? Is there any shift for children due to AI being incorporated into their learning process? Artificial Intelligence in education has the potential to be a game-changer for every child.

  • Many schools are already using AI across the country, and you must know how AI can benefit your child.
  • How AI is Affecting Education Technology has always played an important role in education, but its current use is more prevalent than ever thanks to the increased availability of smart devices and web-based curriculum.

With the rise of Artificial Intelligence in education, there are many different ways it is being used to help students learn. Here are a few technologies with AI that are already affecting and will affect education in every way: Chatbots Chatbots are one example of AI educational apps that students might use soon.

These are being increasingly implemented into classrooms where kids use iPads or laptops to chat with bots designed to help them understand specific topics such as math or reading comprehension. It’s possible chatbot tutors could do more than just help students learn new concepts; there may even come whenever the analysis is needed.

Chatbots are the future of all technical roots. It reduces the cycle of tasks assigned to teachers. Chatbots used in classrooms could also replace email communication between teachers and parents while parents meet also. Virtual Reality (VR) One recent innovation in education is virtual reality, which is being used for everything from teaching history to helping students with math skills.

  1. Virtual Reality is a three-dimensional computer-generated environment that people can explore and interact with.
  2. VR educators are finding new ways to integrate experiential learning into their classrooms, truly shaping what it means to be a student.
  3. VR is a great way to help students feel connected to each other.

When they are indifferent classrooms but using the same virtual reality program, they can communicate safely while still being separated by distance. With Virtual Reality, students can explore things that they may never have the opportunity to see or learn about in real life.

The same goes for teachers. Teachers can find much more engaging ways of teaching their students. Anybody who has tried VR will know that it feels much more immersive than sitting in front of a screen or being inside a computer-generated environment. Increased engagement and deep understanding are just two benefits for students and teachers.

Learning Management System (LMS) In this age of technology, one of the most important things is to stay up-to-date with advancements in education. One of these advancements is the use of Learning Management Systems. A learning management system provides a centralised, intuitive system for managing all of a school’s online activities.

Assign courseworkCommunicate with students and parents Track student progress Generate reports on student performance

These systems allow all aspects of a course to be contained within one space, from lessons and assignments to assessments and grading. This means that teachers can provide feedback on any assignment or assessment at any time. Students have instant access to their grades without waiting until the end of a semester.

A lot of topics can be learnt by using these LMS with AI software. A learner can get help by using an AI-powered intelligent digital tutor, which helps them with their problems and provides them with the correct answer to solve their problem. With Artificial Intelligence, one can even build a learning management system that is able to understand how students are thinking and help them learn better.

There are now LMS systems that can help teachers in creating content, helping parents in monitoring their child’s progress in the system, and assessing them with an AI engine. This has helped teachers reduce classroom management time, assisting parents in understanding their child’s progress better and lessening teachers’ workload.

LMSs are an invaluable tool for both teachers and students alike. Robotics Robotics with Artificial Intelligence in education has increased over the last few years. It is now being used for both teachers and students to help in education, which can be seen to improve student engagement and safety. With AI’s current development, robotics in education is inevitable.

Robots can be an excellent resource for learning for both students and teachers – a way to explore a topic in-depth without getting bored. For teachers, this means robots can provide a way to have more one-on-one time with students who need additional help.

  1. It also allows them to experiment with new ways of teaching, which is essential when trying to reach different types of learners.
  2. For students, it’s a chance to teach themselves something new without the pressure of being the only person in class or having their peers judge them for making mistakes.
  3. Robots can offer that space where they don’t feel embarrassed if they don’t get something right away.

Robotics is vital for students because they can teach them that engineering is more than just solving problems on paper or drawing on a mat. They can see the outcome of their efforts and the final result. Teachers can also use robotics as an instructional tool to teach lessons about current events or even math concepts like fractions.

As technology evolves, it will undoubtedly play an essential role in people’s lives. Challenges The challenge of learning how to use technology is for the students and the teachers. In most cases, the problem is that teachers are not being trained on how to use the new technology in their classrooms. As a result, they have to figure it out themselves or find someone they already know.

Teachers need help in understanding how these tools can be used in order to provide students with an engaging learning experience. Pros and Cons of Artificial Intelligence in Education However, the pros and cons of AI in education are not so black and white.

There are advantages to both sides, but there are disadvantages to each side as well. AI is replacing humans in an increasing number of fields, including education. It’s not just teaching but also grading papers, writing essays, and making recommendations to students about what they should study next.

The question is: should it be? Pros: Artificial Intelligence in education is a very controversial topic right now. People are torn on whether or not AI should be used to educate students. Many people argue that AI will replace teachers and take away the human element of education.

  1. However, there are many advantages to AI in education.
  2. AI can grade papers and essays much faster than a human can.
  3. This will give teachers more time to work with students on critical thinking skills and critical analysis skills.
  4. This would also allow teachers to focus on individual students who would benefit from their guidance.

AI can also augment human teachers by providing insights about student learning styles and giving hands-on feedback for students who need more practice with specific topics or skills. AI doesn’t get tiring, doesn’t have mood swings, and doesn’t have a life outside of education.

Cons: However, there are some negative aspects to Artificial Intelligence in education as well. A robot might not be as good a teacher as a human can be. The disadvantage of AI in education is that technology may not always be successful in teaching. AI does not experience emotions. Students don’t feel that they are being cared for by the AI when they are being lectured to or when they have a question, and when they do not get a response from the AI.

This is an emerging field, and it’s being studied at universities worldwide where professors are working on developing AI technologies that improve our lives. Artificial Intelligence can also be used to provide students with adaptive learning where it adjusts the pace of instruction based on how each student is performing.

  1. On the flip side, some people worry about AI’s impact where human interaction is receding.
  2. Conclusion AI will benefit parents who are always concerned about their children’s social life.
  3. AI technology allows them to monitor their child’s interaction online more closely than ever before.
  4. Schools use software that analyses data points such as how well different students comprehend material; then groups kids accordingly based on what they need.
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AI brings the ability to have 24/hr access to teachers and lessons anytime, anywhere. AI can be used as an educational tool that guides students towards their goals by providing personalised feedback on homework, quizzes etc., based on AI algorithms. Artificial Intelligence has the potential to make everyone’s life easier through automation as it can do menial tasks, so you don’t need to spend time doing mundane activities like organising emails or finding files.

  • The future of education is here! AI is a crucial driver for change in education.
  • There are so many benefits of AI.
  • Every student will have equal access no matter their learning ability or disability; this makes a massive difference since not all children learn at the same pace or possess similar skill sets.

With the help of AI, students can make their future bright. : Artificial Intelligence in education
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How AI is used for achieving quality education goal?

Improving Childhood Learning through Personalized Education – AI Powered Education is part of an AI+SDG Launchpad project series, between the AI for Good Foundation and the Applied Data Science with Venture Applications Course at SCET, UC Berkeley. The aim of the project is to personalize learning to each individual, providing them with materials not only suitable for their cognitive level, but also in a manner that suits their learning styles best. How Can Ai Help In Quality Education
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How is AI used in education examples?

Identify classroom weakness –

The primary fear of introducing AI into an industry is that it will replace the industry workers, and people will lose their jobs. This isn’t entirely true, though. In fact, in education, AI is not meant to replace teachers. It’s meant to complement them.

AI can complement the teacher’s work in a classroom to identify some of the weaknesses within the classroom. For example, AI will be able to identify when some students miss specific questions. By alerting the teachers, they know they have to reteach the material because the students don’t understand it yet.

This will make the teachers more accountable and make them adhere to the best teaching practices.

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    What is the impact of AI on education?

    How artificial intelligence is currently used in education – Because AI is computer-based, it can be connected to different classrooms all over the world. How technology is used in classrooms has changed significantly in response to COVID-19. Rather than teaching in front of a classroom full of students, lockdowns forced many educators across the globe to teach remotely, from their homes.

    • Learning resources can be accessed from anywhere, at any time
    • Time-consuming, tedious tasks such as record keeping or grading multiple-choice tests can be completed through AI automation
    • Frequently asked questions can be answered through chatbots
    • AI tutors and chatbots can be available to answer questions at any time
    • Learning can be tailored and adapted to each student’s goals and abilities through personalized programs

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    How AI is transforming education?

    How AI impacts today’s classrooms and the exciting path forward – From Martin Adams on Unsplash Authored by Sanjay Adhikesaven, Abyan Das, and Monish Muralicharan Artificial Intelligence (AI) has a pivotal role in many K-12 educational systems, providing benefits for both students and teachers. To best utilize AI’s potential, it is key for governments to implement policies conducive to AI’s adoption within classrooms.

    • We discuss the benefits and limitations AI provides to education as well as the steps needed to responsibly use AI in education in the future.
    • AI has contributed massively to making the American educational landscape much stronger and more stable.
    • Through the use of AI in schools, learning has become much more accessible to all groups.

    With the COVID-19 pandemic devastating the American economy and forcing many schools to move to remote learning, teachers needed to utilize technology, and school districts explored the use of expanding their technological capabilities post-pandemic.

    This increased use of technology expanded the usage of AI within classrooms. AI Techniques used in Current Educational Processes AI can offer many benefits for both students and teachers, making it an important tool in modern education. Thus, AI techniques are being used extensively within classrooms today,

    For students, AI can mean more personalized learning. Personalized learning is tailored towards a specific student’s needs, and it would allow students to learn the exact content most relevant for them. AI systems can help scale and improve personalized learning.

    • For example, the popular studying tool Quizlet uses AI to help users study more efficiently by creating personalized study paths that best address a student’s weak points, thus helping a student learn content faster,
    • Additionally, similar technology is being used by Duolingo to personalize language learning,

    Duolingo’s AI system helps users know what they need to practice more and when to practice for optimal results, and it was shown to be highly effective as there was increased user engagement as well as user return increasing by 12%. Additionally, natural language processing (NLP) techniques have been effective for both students and teachers.

    1. Grammarly is known to help improve students’ writing through the use of NLP powered technology.
    2. Their systems can analyze text and provide valuable feedback to students, making the quality of their work higher when submitted to teachers.
    3. Similarly, the Quizlet system uses NLP to conduct smart grading by checking if a student’s answer matches the correct concept rather than checking if the answers are exactly the same.

    As a high school student, I have found NLP powered technologies, such as Grammarly and Quizlet, to be quite helpful when studying for tests due to its immediate response system. The technologies are trained to specifically provide aid in struggling sections, which allows me to know which areas I am weak in.

    1. For teachers, NLP can help reduce workload which is key since teacher workload has increased tremendously during COVID-19, resulting in teachers risking burnout,
    2. Administrative tasks, such as grading assignments or filling out paper, have become burdensome for teachers as they take up a significant amount of time and are largely repetitive.

    Such tasks can be often automated through the use of NLP systems that can process large amounts of text and give teachers summarizations or complete the task itself, Similarly, computer vision (CV) techniques, such as object detection or image classification, also have important applications within education.

    Within schools, safety is an important concern. Beyond directly saving lives, a safer school environment is more conducive to learning. For example, one school district in the United States implemented an AI-based camera system to detect guns, This system can help prevent school shootings, and similar systems can be used to automatically detect unauthorized individuals.

    As a student in a school that has implemented this system, I feel much safer knowing that the chance of such a tragic event occurring is low, and it makes sense for these types of systems to be implemented all throughout the US. CV can also greatly benefit teachers.

    Along with NLP, CV can be used to aid in test grading. For multiple choice tests, CV can automate the grading process by detecting where students have bubbled in their answers, Such technologies have already been implemented within many schools. CV has been a huge relief since it makes test grading much more efficient, and grades are updated much quicker.

    How is artificial intelligence (AI) used in education?

    Additionally, through the use of classification, hand-written characters can be identified, and the resulting text can then be graded. NLP systems can also be integrated in order to parse the text and grade it. CV can also automate attendance processes for teachers.

    Manually taking attendance takes up important class time while also bringing room for error if teachers incorrectly mark a student as present or absent. Through the use of facial recognition, CV systems can automatically detect which students are present/absent, Additionally, in the case of remote learning, exam security and proctoring was a large concern,

    Through the use of CV techniques like eye gaze tracking and object detection, automated proctoring systems have been made to make remotely-taken exams more secure and ease the burden on teachers who don’t have to manually watch students take their exams online.

    AI is also being used to streamline the education process through the use of AI-based tutors and chatbots. Due to teachers being unavailable after school, certain districts have started implementing chatbots that can help improve skills in school-related subjects. In fact, Maryville University implemented a chatbot to answer new undergraduates’ questions regarding the school.

    Another online tutoring organization called Capacity implemented an AI chatbot that answers students’ questions about specific subjects. Remarkably, it answered 40 student questions at a response rate of 2.7 seconds, The use of an AI chatbot is beneficial in the education space because it saves time for the student and doesn’t require the teacher to work after-school hours to answer questions.

    • Since AI chatbots can be accessed by any device at any time compared to asking teachers and waiting for their response, overall educational output is improved.
    • Despite my high school not implementing a chatbot system, I have had a positive experience with it on tutoring platforms due to its immediate accessibility.

    Chatbots have massively progressed, allowing me to ask hyper-specific questions such as how to solve certain math equations. In elementary school, teachers are currently using Presentation Translator, a type of AI tool created by Powerpoint, in which students receive real-time subtitles for everything the teacher says in class, whether it be lectures or just simple instructions for homework,

    1. This also increases educational accessibility because English language learners can easily see subtitles in real-time, thus increasing learning and educational output.
    2. Through the use of AI, teachers and corporations are both contributing to a better educational space in which students can receive more from their learning.

    However, the implementation of AI in education also carries many concerns that need to be addressed for greater adoption. In a world with rapidly advancing technology, data privacy is a problem that is becoming increasingly harder to solve, especially in education.

    Students use various different technologies in an online or hybrid learning setting that leads to an increase in data collection/usage. While this data is important for the functionality of AI-based applications, it can also result in an invasion of the student’s privacy. In fact, one-third of undergraduate students expressed concern about their privacy when AI technology was used in their classrooms,

    AI models are trained using user-collected data to create trends and improve the accuracy of the model. Since education technologies are created by large corporations, they strive to collect more data to improve their product. Eventually, these data collection methods seem ordinary, analogous to security cameras, information forms, or usage tracking.

    Many technologies implemented in schools are pertinent to learning the content of the course, often leaving students no choice to opt-out and remain private. Invasion of privacy can be a major concern for many who wish to remain private and not share much personal data. Another concern of AI is the expanded inequity between wealthy and underprivileged schools.

    Due to greater resources, funding, and accessibility, wealthier schools are able to expand AI-based learning faster than underprivileged schools, thus allowing their students to be more technologically proficient. However, underprivileged students may lack technological proficiency, creating a disadvantage for these students if AI is implemented into the school system.

    While AI often performs better than the human brain, it lacks self-correction, which is important to improve accuracy. Educational technology could aid towards accurate student placement in a certain subject. These technologies work off the limited data collected while the student uses the application, which could lead to improper outcomes.

    Generalized algorithms found in AI fail to correctly use small nuances in data, such that they could either inflate the effect of the nuance or completely overlook it. For example, a student could lack vocabulary in a specific topic, and this data could be used to determine the reading level of the student,

    1. In a situation where a teacher would be able to identify a student’s strengths and weaknesses effectively, AI lacks the same quality of analysis.
    2. While AI may be accurate most of the time, there are many situations in which a human teacher is needed to take a final call.
    3. Currently, minority students face inequality at school, leading to AI models having racially biased data.

    For example, they are often taught content that they cannot relate to, suspended more often, and placed on decelerated academic paths in contrast to their white counterparts, Language-teaching technologies help build content using standard English, which may not address dialects, sociolects, and slang.

    1. AI-based models use this racially biased data to train personalized learning and placement algorithms, thus putting minorities further at a disadvantage.
    2. Additionally, underfunded rural school districts may not be able to afford the complex AI security systems or even the teacher-aiding AI systems due to the high price.

    Since it is a relatively new technology, the price is high which results in its inaccessibility. As per chatbots, many school districts, including my own, don’t have access to this technology, and it can be quite problematic to place all resources on a website chatbot due to some families not having access to the Internet or a device to access it.

    Although AI has proved to be beneficial to the educational landscape, it is still in its early stages and much more should be done by the US government in their AI policy-making. The US government should implement policies in which they provide funding to school districts to implement an AI chatbot that comprehends multiple languages.

    This is important since foreign families move to the US for better educational opportunities, but language barriers can often prevent them from successfully transitioning to the education system. Thus, adding an AI chatbot to school district websites would allow families who aren’t fluent in English to receive information at their own pace and sign their children up for schools or even allow the students themselves to ask about their subjects to the chatbot when the teacher is not active.

    The US government also needs to establish data-protection policies that would make the school district’s data collection fully public to all parties. By adopting laws that clearly distinguish between which data can be publicly or privately collected, the government would allow for greater trust to occur which is key for further adoption of AI-technologies in the educational sphere.

    As AI becomes more prevalent within the educational realm, it is important to consider both the benefits and concerns of AI usage. Responsible use of AI will allow for maximum benefits for both students and teachers. In the future, AI researchers should consider addressing some of the concerns that exist within today’s models.

    • A move towards privacy-preserving models and less intrusive AI would allow for greater adoption of such systems within classrooms across the world.
    • At the same time, it is important to increase AI literacy among educational administration to allow for greater usage of AI.
    • Additionally, extended applications of current AI technologies could allow for AI to have a greater impact on education in the future, with both NLP and CV having great potential in the educational sphere.

    References 43 Examples of Artificial Intelligence in Education (2021), University of San Diego Hinkle, R, Quizlet has new AI to Help You Study More Efficiently (2020), ELearning Inside Peranandum, C, AI Helps Duolingo Personalize Language Learning (2018), Wired Radacu, C, Teachers’ Burnout Risk During the COVID-19 Pandemic: Relationships With Socio-Contextual Stress — A Latent Profile Analysis (2022), Frontiers Pietro, M, Text Summarization with NLP: Textrank vs Seq2Seq vs BART (2022), Towards Data Science Faulkenberry, N.

    • Hobbs school district using AI cameras to detect guns (2022), KCBD H.E.
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    • Gutiérrez, Automatic Multiple Choice Test Grader using Computer Vision (2021), IEEE Mexican Humanitarian Technology Conference (MHTC) Bhavana, D., Kumar, K.K., Kaushik, N.
    • Et al, Computer vision based classroom attendance management system-with speech output using LBPH algorithm (2020, Int J Speech Technol Prigge, R, Overcoming Remote Proctoring Security Challenges amid COVID-19 (2020), Educause Mussachio, M, Secure Online Proctoring For Education: The Threat Of Remote Access (2022), PSI Schmidt, J, How Capacity is Powering High Education Institutions: In-Person, Online, and Hybrid (2020), Capacity Presentation Translator for Powerpoint (2017), Microsoft D.

    Christopher Brooks, ECAR Study of Undergraduate Students and Information Technology (2016), ECAR Torres, J, How to identify, address bias in educational technology (2021), SmartBrief Hebbar, N et al, AI in Education Toolkit for Racial Equity (2020), Edtech Equity
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    What are AI tools in education?

    1. Gradescope – The Gradescope AI tool enables students to assess each other while providing feedback, which are often time-consuming tasks without AI technology. Gradescope relies on a combination of machine learning (ML) and AI to make it easier to grade, which saves time and energy.

    AI-assisted and manual question grouping Student-specific time extensions AI-assisted grading Increased efficiency and fairness

    What is Gradescope? (Old Version)
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    Is artificial intelligence being used in education?

    Artificial intelligence in education Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and accelerate progress towards SDG 4. However, rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks.

    UNESCO is committed to supporting Member States to harness the potential of AI technologies for achieving the Education 2030 Agenda, while ensuring that its application in educational contexts is guided by the core principles of inclusion and equity. UNESCO’s mandate calls inherently for a, It aims to shift the conversation to include AI’s role in addressing current inequalities regarding access to knowledge, research and the diversity of cultural expressions and to ensure AI does not widen the technological divides within and between countries.

    The promise of “AI for all” must be that everyone can take advantage of the technological revolution under way and access its fruits, notably in terms of innovation and knowledge. Furthermore, UNESCO has developed within the framework of the a publication aimed at fostering the readiness of education policy-makers in artificial intelligence.

    This publication,, will be of interest to practitioners and professionals in the policy-making and education communities. It aims to generate a shared understanding of the opportunities and challenges that AI offers for education, as well as its implications for the core competencies needed in the AI era Through its projects, UNESCO affirms that the deployment of AI technologies in education should be purposed to enhance human capacities and to protect human rights for effective human-machine collaboration in life, learning and work, and for sustainable development.

    Together with partners, international organizations, and the key values that UNESCO holds as pillars of their mandate, UNESCO hopes to strengthen their leading role in AI in education, as a global laboratory of ideas, standard setter, policy advisor and capacity builder.

    • If you are interested in leveraging emerging technologies like AI to bolster the education sector, we look forward to partnering with you through financial, in-kind or technical advice contributions.
    • ‘We need to renew this commitment as we move towards an era in which artificial intelligence – a convergence of emerging technologies – is transforming every aspect of our lives (),’ said Ms Stefania Giannini, UNESCO Assistant Director-General for Education at the International Conference on Artificial Intelligence and Education held in Beijing in May 2019.

    ‘We need to steer this revolution in the right direction, to improve livelihoods, to reduce inequalities and promote a fair and inclusive globalization.” : Artificial intelligence in education
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    How is AI contributing towards the sdg of quality education class 9?

    The impact of AI on SDG class 9 – There are adopted in the General Assembly in 2015 by the United Nations. It was built upon “leaving no one behind” principle. For more details on Sustainable Development Goal watch this video: After watching this video you may be clear about what are these 17 SDG goals. They were adopted for:

    1. Better Environment
    2. Better Society
    3. Better Economy

    In relation to this Artificial Intelligence can contribute towards accomplishing these goals and making the Earth a better place for all of us and other inhabitants. So let we talk about the impact of AI on SDG class 9, The major challenges for the world are to provide clean water, clean air, natural resources, sustainable energy, and education.

    • No poverty (SDG – 1):
    • Zero Hunger (SDG – 2):
    • Good Health and Well Being (SDG – 3): AI can help in preparing data for people living under the poverty line and help them by providing food, health, water, and energy easily.
    • Quality Education (SDG – 4): AI systems can be trained for quality education and can provide the solution.
    • Gender Equality (SDG – 5): AI tools don’t recognize gender. In some areas, AI can result in negative impacts also. For example, the AI systems or tools are trained based on the situation and requirements of the country where they developed. If we talk about SDG 5 – Gender Equality, there is inefficient research done. The tools which are available such as voice agents and chatbots like Alexa or Siri gendered as female only. To improve this more research required for smart algorithms, image recognition, reinforced learning, or discrimination.
    • Clean water and Sanitation (SDG – 6): AI tools can be used for supplying clean water and sanitation to the people.
    • Affordable and Clean Energy (SDG – 7) : AI can be trained to provide affordable and clean energy but the IA product design should require proper resources and tools.
    • Sustainable Cities and Communities (SDG – 11): AI is capable to create smart cities that provide efficient resources to the people.
    • Peace Justice and Strong institutions (SDG – 16) : Justice and strong institutions based on the rules formed by the different groups of people. So it is very highly impacted through AI. The tools can be trained for the laws and enforcement according to the need.
    • Partnerships for the goals (SDG – 17) : AI can help to provide a partnership and support the partner to achieve the goal.

    The next section of the impact of AI on SDG class 9 will discuss AI economical impact. AI economical impacts The positive impacts of AI on economy goals are:

    • Decent Work and Economic Growth (SDG – 8): The market heavily relies on data analysis. These data may not available in low and middle-income countries. Hence the work culture may be impacted.
    • Industry Innovation and Infrastructure (SDG – 9): AI system helps in industry innovation in terms of solving complex problems. It can handle complex operations easily. It can also handle the infrastructural issues with advancement.
    • Reduce Inequalities (SDG – 10) : By using AI tools inequalities can be reduced as AI tools do not have any emotions. They can produce the results better than other tools. If we take the example of AI used by social media websites to show up the contents of users’ interest in his profile. Another example is job creation using AI tools.

    Now let’s see the environmental impacts for the impact of AI on SDG class 9.
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    How AI can be helpful in achieving the SDG goal No 13?

    AI and societal outcomes – Sixty-seven targets (82%) within the Society group could potentially benefit from AI-based technologies (Fig.2 ). For instance, in SDG 1 on no poverty, SDG 4 on quality education, SDG 6 on clean water and sanitation, SDG 7 on affordable and clean energy, and SDG 11 on sustainable cities, AI may act as an enabler for all the targets by supporting the provision of food, health, water, and energy services to the population.

    It can also underpin low-carbon systems, for instance, by supporting the creation of circular economies and smart cities that efficiently use their resources 13, 14, For example, AI can enable smart and low-carbon cities encompassing a range of interconnected technologies such as electrical autonomous vehicles and smart appliances that can enable demand response in the electricity sector 13, 14 (with benefits across SDGs 7, 11, and 13 on climate action).

    AI can also help to integrate variable renewables by enabling smart grids that partially match electrical demand to times when the sun is shining and the wind is blowing 13, Fewer targets in the Society group can be impacted negatively by AI (31 targets, 38%) than the ones with positive impact.

    However, their consideration is crucial. Many of these relate to how the technological improvements enabled by AI may be implemented in countries with different cultural values and wealth. Advanced AI technology, research, and product design may require massive computational resources only available through large computing centers.

    These facilities have a very high energy requirement and carbon footprint 15, For instance, cryptocurrency applications such as Bitcoin are globally using as much electricity as some nations’ electrical demand 16, compromising outcomes in the SDG 7 sphere, but also on SDG 13 on Climate Action.

    • Some estimates suggest that the total electricity demand of information and communications technologies (ICTs) could require up to 20% of the global electricity demand by 2030, from around 1% today 15,
    • Green growth of ICT technology is therefore essential 17,
    • More efficient cooling systems for data centers, broader energy efficiency, and renewable-energy usage in ICTs will all play a role in containing the electricity demand growth 15,

    In addition to more efficient and renewable-energy-based data centers, it is essential to embed human knowledge in the development of AI models. Besides the fact that the human brain consumes much less energy than what is used to train AI models, the available knowledge introduced in the model (see, for instance, physics-informed deep learning 18 ) does not need to be learnt through data-intensive training, a fact that may significantly reduce the associated energy consumption.

    Although AI-enabled technology can act as a catalyst to achieve the 2030 Agenda, it may also trigger inequalities that may act as inhibitors on SDGs 1, 4, and 5. This duality is reflected in target 1.1, as AI can help to identify areas of poverty and foster international action using satellite images 5,

    On the other hand, it may also lead to additional qualification requirements for any job, consequently increasing the inherent inequalities 19 and acting as an inhibitor towards the achievement of this target. Fig.2: Detailed assessment of the impact of AI on the SDGs within the Society group. How Can Ai Help In Quality Education Documented evidence of positive or negative impact of AI on the achievement of each of the targets from SDGs 1, 2, 3, 4, 5, 6, 7, 11, and 16 ( ). Each block in the diagram represents a target (see the Supplementary Data 1 for additional details on the targets).

    For targets highlighted in green or orange, we found published evidence that AI could potentially enable or inhibit such target, respectively. The absence of highlighting indicates the absence of identified evidence. It is noteworthy that this does not necessarily imply the absence of a relationship. (The content of of this figure has not been reviewed by the United Nations and does not reflect its views).

    Another important drawback of AI-based developments is that they are traditionally based on the needs and values of nations in which AI is being developed. If AI technology and big data are used in regions where ethical scrutiny, transparency, and democratic control are lacking, AI might enable nationalism, hate towards minorities, and bias election outcomes 20,

    The term “big nudging” has emerged to represent using big data and AI to exploit psychological weaknesses to steer decisions—creating problems such as damaging social cohesion, democratic principles, and even human rights 21, AI has been recently utilized to develop citizen scores, which are used to control social behavior 22,

    This type of score is a clear example of threat to human rights due to AI misuse and one of its biggest problems is the lack of information received by the citizens on the type of analyzed data and the consequences this may have on their lives. It is also important to note that AI technology is unevenly distributed: for instance, complex AI-enhanced agricultural equipment may not be accessible to small farmers and thus produce an increased gap with respect to larger producers in more developed economies 23, consequently inhibiting the achievement of some targets of SDG 2 on zero hunger.

    1. There is another important shortcoming of AI in the context of SDG 5 on gender equality: there is insufficient research assessing the potential impact of technologies such as smart algorithms, image recognition, or reinforced learning on discrimination against women and minorities.
    2. For instance, machine-learning algorithms uncritically trained on regular news articles will inadvertently learn and reproduce the societal biases against women and girls, which are embedded in current languages.

    Word embeddings, a popular technique in natural language processing, have been found to exacerbate existing gender stereotypes 2, In addition to the lack of diversity in datasets, another main issue is the lack of gender, racial, and ethnic diversity in the AI workforce 24,
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