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AI Revolution: How AI Creates Equal Learning and Job Opportunities for Indonesians

AI education in Indonesia is revolutionising access to quality learning and future jobs, with surging enrollments in GenAI courses and innovative applications in personalized learning and classroom aid.

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AI education in Indonesia

TL;DR:

  • AI is transforming education and job opportunities in Indonesia.
  • Enrollments in GenAI courses have surged by 1,158% year-on-year.
  • AI can democratize access to quality education and future jobs at scale.

Artificial Intelligence (AI) is set to revolutionise the future of education and work in Asia, with Indonesia at the forefront of this transformation. According to a survey by Google and Ipsos, Asians believe that AI will have a significant positive impact on education and training. This belief is already manifesting in Indonesia, where the revolutionary capabilities of generative AI (GenAI) are unlocking new ways to democratize access to quality education and future jobs at an unprecedented scale.

The Surge in GenAI Courses

Enrollments in GenAI courses in Indonesia have surged by an astonishing 1,158% year-on-year, compared to a 1,060% increase globally. Indonesia now ranks third in Southeast Asia for the highest number of enrollments, after Singapore and Vietnam. This trend highlights the growing interest and demand for AI skills among Indonesians.

Four Areas Where AI Levels the Playing Field

1. Access to Learning with the World

Advances in machine learning (ML) have greatly reduced the cost and time needed to translate course material. What once cost thousands of dollars and took months can now be done for less than US$30 in just a few days. This breakthrough is crucial for Indonesia, where internet penetration is rapidly increasing. With over 77% of its population online, the country now ranks fourth globally in internet users after China, India, and the United States.

Prompt: Imagine you are a student in Indonesia who wants to learn a new skill but faces a language barrier. How can AI-translated content help you overcome this challenge?

2. Personalized and Interactive Learning

Private tutors have always been a privilege for the few, but AI is changing that. Every Indonesian student could soon have their own GenAI personal coach. This AI coach can offer customized study tips, explain concepts, and even teach modules in a student’s native language.

A survey by Tirto and Jakpat revealed that 86% of students aged 15-21 were using AI assistance at least monthly to complete tasks. GenAI’s conversational abilities can also be utilized for various applications, such as a debate opponent that generates counterarguments while a student fine-tunes their own point of view.

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Prompt: Describe a scenario where a GenAI personal coach helps a student improve their learning outcomes.

3. Classroom Aid: How AI Augments Teaching

AI can support and free up teachers, especially when they are short-staffed. GenAI can be used to scale practice assessments tailored to each learner’s needs, generate multiple-question paper variants for robust testing, and streamline grading by suggesting scores and feedback.

With GenAI, faculty can auto-generate an entire course, from its structure to assignments, in just a few hours. Instructors would be able to easily produce a privately authored course that blends high-quality content from external experts with their own internal content. For multilingual classes, GenAI can craft personalized, step-by-step instructions for every student, a capability that can be useful to bridge linguistic barriers.

Prompt: How can AI-assisted grading help teachers save time and improve student outcomes?

4. A Future-Ready Workforce

Indonesia has seen a surge in enrollments for GenAI courses, reflecting a keen interest in AI skills. Enrollments have soared by 1,150% year-on-year, with significant increases in courses such as Prompt Engineering for ChatGPT by Vanderbilt University, Google AI Essentials, and Generative AI for Everyone by DeepLearning.AI.

A Microsoft-LinkedIn research found that 76% of Indonesian leaders were even willing to hire a less experienced candidate if they had AI skills. GenAI will not take over jobs, but workers who are not using AI might be replaced by those who do. High GenAI enrollments among Indonesian enterprise learners signal that even those employed are upskilling to remain relevant in their jobs and the market at large.

Prompt: Explain how AI skills can make a worker more employable and productive in their first job.

The Role of Public and Private Institutions

Online learning can be a powerful tool for promoting equal access to in-demand AI skills. Public and private institutions play a key role in powering mass AI skilling and reskilling programs. Democratizing access to AI skills aligns with the government’s plan to increase digital inclusion and the use of AI in every sector, including education.

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Harnessing AI’s Potential

The AI revolution can create more equal opportunity for all Indonesians. Harnessing its potential in education, especially to narrow the opportunity gap, will ensure equitable outcomes in an AI world.

As United Nations chief António Guterres said, “Now, more than ever, we need to move towards learning societies. People everywhere need high-quality skills, knowledge and education. Above all, they need the best teachers possible.”

By embracing AI, Indonesia is paving the way for a future where every individual has equal access to quality education and job opportunities. The AI revolution is not just about technology; it’s about creating a more inclusive and equitable society.

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What AI skills do you think are most important for the future workforce in Indonesia? Share your thoughts and experiences in the comments below. Don’t forget to subscribe for updates on AI and AGI developments here.

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  • To read UNESCO’s report on AI in education in Asia tap here.

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The Secret Weapon Against AI Plagiarism: Watermarking

Explore the impact of AI-generated essays on education and the innovative solutions being developed to address this challenge, including OpenAI’s watermarking technology and regulatory efforts.

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AI-generated essays

TL;DR:

  • AI-generated essays are a growing concern in education.
  • OpenAI developed a watermarking solution to detect AI-generated text.
  • Competition among AI providers hinders the implementation of watermarking.
  • Regulatory efforts, like the California Digital Content Provenance Standards, aim to address this issue.
  • The future of AI in education requires innovative assessment methods.

In the rapidly evolving world of artificial intelligence (AI), one application has sparked significant debate: AI-generated essays. As the new school year begins, teachers and educators are grappling with the reality that AI tools like ChatGPT can produce essays that are virtually indistinguishable from human-written ones. This shift has rendered traditional essay assignments less effective, forcing educators to adapt their teaching methods.

The Rise of AI in Education

AI has revolutionised many aspects of our lives, and education is no exception. Generative AI, in particular, has proven exceptionally adept at creating essays. This is because there are abundant examples of essays in AI training data, and the demand for such content is high. Additionally, the standards for essay quality and originality in student work are relatively low, making it an ideal task for AI.

The Challenge of Detecting AI-Generated Text

Currently, detecting AI-generated essays is a formidable task. While several tools claim to identify AI-generated text, their reliability is questionable. Accusing students of plagiarism based on unreliable tools can have serious consequences, making it crucial to find a more accurate solution.

The Solution: AI Watermarking

In 2022, a team at OpenAI, led by quantum computing researcher Scott Aaronson, developed a groundbreaking solution known as “watermarking.” This technique makes AI-generated text virtually unmistakable, even if the user makes minor changes. The watermarking process involves altering the AI’s text generation method to include a nonrandom element, favouring certain tokens based on a secret scoring rule.

For example, the AI might favour words containing the letter ‘V’ slightly more than usual. While this change is subtle and unlikely to be noticed by readers, it creates a detectable pattern that OpenAI can use to verify the text’s origin. This innovative solution could significantly reduce the problem of AI-generated essays masquerading as human-written work.

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The Competitive Barrier

Despite the potential benefits of watermarking, OpenAI and other AI providers have not implemented this solution. The reason lies in competition. If OpenAI were the only provider to implement watermarking, users would simply switch to other AI tools like Meta’s Llama, Anthropic’s Claude, or Google’s Gemini. This would not solve the plagiarism issue and could lead to OpenAI losing its user base.

The Role of Regulation

To address this competitive barrier, regulatory intervention may be necessary. The California Digital Content Provenance Standards bill, introduced this year, aims to require generative AI providers to make their AI-generated content detectable. OpenAI supports this bill, as they are the only known provider with a working watermarking system. However, other AI providers are largely opposed to such regulations.

While watermarking could be a valuable tool, its implementation faces significant challenges. Open AI models, which can be run on personal computers, are already widely available. Adding watermarking to these models is not feasible, as anyone can use the current versions regardless of future updates.

Adapting to AI in Education

Given the challenges of implementing watermarking, educators must find alternative ways to assess students. Many teachers are already adopting in-class essay requirements and other innovative methods to reduce cheating. Additionally, the use of AI-generated content in college admissions essays is likely to decrease, as these essays may not be the best way to evaluate students.

The Future of AI and Education

The debate over AI-generated essays highlights a broader issue: the rapid pace of AI development often outstrips society’s ability to regulate and adapt. While AI offers numerous benefits, it also presents challenges like impersonation and plagiarism. Finding a balance between harnessing AI’s potential and mitigating its downsides will be crucial as AI continues to evolve.

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What do you think about the future of AI in education? How can we ensure that AI is used ethically and responsibly in our classrooms? Share your thoughts and experiences in the comments below, and don’t forget to subscribe for updates on AI and AGI developments.

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Coursera Launches Revolutionary Gen AI Skills Training for Teams

Dell’s reorganisation and focus on AI products highlight the growing importance of AI in Asia, with significant implications for jobs, investments, and market trends.

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Generative AI Skills

TL;DR:

  • Coursera introduces GenAI for Teams to help businesses apply generative AI skills.
  • The program includes hundreds of courses tailored to software, data, and marketing teams.
  • Seven new generative AI courses and specializations are now available.
  • Eight entry-level Professional Certificates have been updated with generative AI content.

Unleashing Innovation with Coursera’s GenAI for Teams

Coursera, the renowned learning platform, has expanded its Generative AI Academy with a new offering designed specifically for teams. GenAI for Teams aims to equip businesses with the skills and best practices needed to apply generative AI in unique and innovative ways. This program complements the existing GenAI for Everyone and GenAI for Executives programs, offering a comprehensive suite of courses tailored to various business functions.

Unlocking Productivity Across Critical Functions

GenAI for Teams provides a rich catalog of hundreds of courses aimed at unlocking innovation and productivity across critical business areas. The program is divided into three main topic areas:

Gen AI for Software and Product Teams

  • Generative AI for Software Developers by IBM
  • Developing with GitHub Copilot and VS Code by Microsoft
  • Responsible AI for Developers by Google Cloud

Gen AI for Data Teams

  • Generative AI for Data Scientists by IBM
  • GenAI in Data Analytics by Meta
  • Practical Steps for Building Fair AI Algorithms by Fred Hutch Cancer Center

Gen AI for Marketing Teams

  • GenAI for Social Media Marketing by Meta
  • Content Marketing Using Generative AI by the University of Virginia Darden
  • Generative AI for the Resilient Pricer by Dartmouth College

New Generative AI Courses and Specializations

Coursera has also introduced seven new generative AI courses, specializations, and certificates to help learners develop their skills in this cutting-edge field:

  • Generative AI for Software Development Skills Certificate from DeepLearning.AI
  • Artificial Intelligence Graduate Certificate from the University of Colorado Boulder
  • Generative AI in Marketing Specialization from UVA Darden
  • Programming with Generative AI course from Indian Institute of Technology Guwahati
  • Responsible Generative AI Specialization from the University of Michigan
  • Change Management for Generative AI course from Vanderbilt University
  • Generative AI for Kids, Parents, and Teachers course from Vanderbilt

Updated Professional Certificates with Generative AI Content

Eight of Coursera’s entry-level Professional Certificates have been updated to include generative AI-related content, such as projects, readings, and videos. These certificates include:

  • Data Analyst from IBM
  • Data Engineering from IBM
  • Data Science from IBM
  • Full Stack Software Developer from IBM
  • Cybersecurity Analyst from Microsoft
  • Power BI Data Analyst from Microsoft
  • Marketing Analytics from Meta
  • Social Media Marketing from Meta

The Importance of Generative AI Skills

Generative AI is transforming industries by enabling the creation of new content, products, and services. As businesses increasingly adopt these technologies, the demand for professionals with generative AI skills is growing. Coursera’s GenAI for Teams program is designed to meet this demand by providing comprehensive training that empowers teams to leverage generative AI effectively.

“Generative AI has the potential to revolutionize how we work and innovate. Our new GenAI for Teams program is designed to equip professionals with the skills they need to harness this powerful technology and drive meaningful change in their organizations.” – Jeff Maggioncalda, CEO of Coursera

By offering a rich catalog of courses and resources, Coursera is empowering professionals to drive innovation and productivity in their organisations.

External Resources for Further Learning

For more information on Coursera’s Generative AI Academy and the GenAI for Teams program, visit the Coursera blog.

Additionally, you can explore case studies and examples of AI and AGI applications in Asia through resources like the AI in Asia website, which provides insights into the latest developments and innovations in the region.

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What generative AI skills do you think are most important for your field? How do you plan to apply what you learn from Coursera’s GenAI for Teams program? We invite you to share your thoughts and experiences in the comments below. Don’t forget to subscribe for updates on AI and AGI developments.

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For more information on Coursera’s Generative AI Academy and the GenAI for Teams program, visit the Coursera blog.

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5 Free Stanford AI Courses for Aspiring Experts

Explore 5 free Stanford AI courses to become an AI expert, covering Python, ML, AI principles, and societal impacts.

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Free Stanford AI Courses

TL;DR:

  • Stanford offers 5 free AI courses to help you become an AI expert.
  • Over 70% of companies are looking for AI experts, making it a high-demand skill.
  • Courses cover Python, Machine Learning, AI principles, and the societal impact of AI.

Become an AI Expert with These 5 Free Stanford Courses

Are you eager to learn about Artificial Intelligence (AI)? You’re in luck! Stanford University offers five fantastic courses to help you kickstart your AI journey, and the best part is, they’re all free! In today’s world, AI has been applied in numerous businesses, creating immense value. Consequently, there’s a high demand for AI experts, with over 70% of companies seeking professionals who can leverage AI tools effectively.

So, let’s dive into these AI courses from Stanford University and help you become an AI expert!

Statistical Learning with Python

To excel in AI, you must first understand statistical methodologies and Python programming. This course teaches you basic statistical methods, supervised learning, and the use of Python. You’ll become familiar with statistical modeling, which will help you grasp the concepts in the subsequent courses. Stanford also provides a free book to accompany this course on their website.

CS229: Machine Learning

Machine Learning (ML) is a crucial subset of AI, and modern AI tools require a strong ML foundation. In this course, you’ll learn about supervised learning, unsupervised learning, learning theory, reinforcement learning, adaptive theory, and ML applications. This course will strengthen your ML foundation, which is essential for understanding and developing AI.

Intro to Artificial Intelligence

This course covers the basics of AI, making it perfect for beginners. With 22 lessons and 9 practice exams, you’ll learn about probability, ML, game theory, computer vision, robotics, and natural language processing. These lessons will give you the confidence to explore AI in more depth.

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CS221: Artificial Intelligence: Principles and Techniques

This advanced course delves deeper into AI, teaching various techniques for implementing AI systems. You’ll learn about search, Markov decision processes, game playing, constraint satisfaction, graphical models, and logic. It’s recommended that you revisit the foundational courses before taking this one.

The AI Awakening: Implications for the Economy and Society

In this short course, you’ll learn about the impact of AI on the economy and society. It covers the risks and benefits of AI, helping you understand the broader implications of this technology. This course is essential for anyone looking to make a difference in the AI field.

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Have you taken any of these Stanford AI courses? How have they helped you in your AI journey? Share your experiences below and don’t forget to subscribe for updates on AI and AGI developments at AI in Asia. Let’s build a community of AI enthusiasts and learn together!

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