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Ini adalah kursus pengantar pembelajaran mikro yang dimaksudkan untuk menjelaskan responsible AI, alasan pentingnya responsible AI, dan cara Google mengimplementasikan responsible AI dalam produknya. Kursus ini juga memperkenalkan 7 prinsip AI Google.
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What's inside
Syllabus
Pengantar Responsible AI
Ini adalah kursus pengantar pembelajaran mikro yang dimaksudkan untuk menjelaskan responsible AI, alasan pentingnya responsible AI, dan cara Google mengimplementasikan responsible AI dalam produknya. Kursus ini juga memperkenalkan 7 prinsip AI Google.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores responsible AI, which has emerged as a critical topic in industry and academia
Taught by Google Cloud Training, recognized for their expertise in Google AI products and services
Builds understanding of Google's 7 principles for responsible AI
Designed for beginners, providing a foundational understanding of responsible AI
Introduces concepts relevant to both technical and non-technical audiences
Save this course
Save Introduction to Responsible AI - Bahasa Indonesia to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Responsible AI - Bahasa Indonesia with these
activities:
Review Machine Learning and AI Fundamentals
Show steps
Strengthen your foundation in machine learning and AI to enhance your understanding of Responsible AI concepts.
Browse courses on
Machine Learning Fundamentals
Show steps
-
Review basic machine learning algorithms, such as supervised learning, unsupervised learning, and deep learning.
-
Refresh your knowledge of AI techniques, such as natural language processing, computer vision, and robotics.
Review Core Computer Science Concepts
Show steps
Brush up on the fundamentals of computer science to strengthen your understanding of Responsible AI concepts.
Show steps
-
Review data structures, algorithms, and complexity analysis.
-
Refresh your knowledge of basic programming concepts, such as variables, control flow, and functions.
-
Practice implementing simple algorithms in a programming language of your choice.
Explore Google's Responsible AI Guidelines
Show steps
Deepen your understanding of Google's Responsible AI principles by following guided tutorials and documentation.
Show steps
-
Read Google's white paper on Responsible AI.
-
Follow interactive tutorials on implementing Responsible AI practices in your own projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Engage in Discussions with Classmates
Show steps
Connect with peers to exchange ideas, share experiences, and reinforce your understanding of Responsible AI.
Show steps
-
Join or start a discussion group on the course platform.
-
Participate in discussions by asking questions, sharing insights, and offering support to others.
Attend Workshops on Responsible AI
Show steps
Deepen your understanding and practical skills in Responsible AI by attending workshops led by experts.
Show steps
-
Identify and register for upcoming workshops on Responsible AI.
-
Attend workshops and actively participate in discussions and hands-on exercises.
Develop a Responsible AI Policy for a Hypothetical Project
Show steps
Apply your understanding of Responsible AI by creating a policy that outlines how you would ensure ethical and responsible use of AI in a hypothetical project.
Show steps
-
Identify the potential risks and biases associated with the hypothetical project.
-
Research best practices for mitigating these risks and biases.
-
Draft a policy that outlines the principles and guidelines for responsible AI development and deployment.
Contribute to Open-Source Responsible AI Projects
Show steps
Gain practical experience and contribute to the Responsible AI community by participating in open-source projects.
Show steps
-
Identify open-source projects focused on Responsible AI.
-
Review the project's documentation and contribute code, documentation, or issue reports.
Mentor Junior Developers on Responsible AI
Show steps
Share your knowledge and make a meaningful impact by mentoring junior developers or students on Responsible AI principles.
Show steps
-
Identify junior developers or students who are interested in learning about Responsible AI.
-
Provide guidance and support on best practices for developing and deploying responsible AI systems.
Review Machine Learning and AI Fundamentals
Show steps
Strengthen your foundation in machine learning and AI to enhance your understanding of Responsible AI concepts.
Browse courses on
Machine Learning Fundamentals
Show steps
Show steps
Show steps
- Review basic machine learning algorithms, such as supervised learning, unsupervised learning, and deep learning.
- Refresh your knowledge of AI techniques, such as natural language processing, computer vision, and robotics.
Review Core Computer Science Concepts
Show steps
Brush up on the fundamentals of computer science to strengthen your understanding of Responsible AI concepts.
Show steps
Show steps
Show steps
- Review data structures, algorithms, and complexity analysis.
- Refresh your knowledge of basic programming concepts, such as variables, control flow, and functions.
- Practice implementing simple algorithms in a programming language of your choice.
Explore Google's Responsible AI Guidelines
Show steps
Deepen your understanding of Google's Responsible AI principles by following guided tutorials and documentation.
Show steps
Show steps
Show steps
- Read Google's white paper on Responsible AI.
- Follow interactive tutorials on implementing Responsible AI practices in your own projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Engage in Discussions with Classmates
Show steps
Connect with peers to exchange ideas, share experiences, and reinforce your understanding of Responsible AI.
Show steps
Show steps
Show steps
- Join or start a discussion group on the course platform.
- Participate in discussions by asking questions, sharing insights, and offering support to others.
Attend Workshops on Responsible AI
Show steps
Deepen your understanding and practical skills in Responsible AI by attending workshops led by experts.
Show steps
Show steps
Show steps
- Identify and register for upcoming workshops on Responsible AI.
- Attend workshops and actively participate in discussions and hands-on exercises.
Develop a Responsible AI Policy for a Hypothetical Project
Show steps
Apply your understanding of Responsible AI by creating a policy that outlines how you would ensure ethical and responsible use of AI in a hypothetical project.
Show steps
Show steps
Show steps
- Identify the potential risks and biases associated with the hypothetical project.
- Research best practices for mitigating these risks and biases.
- Draft a policy that outlines the principles and guidelines for responsible AI development and deployment.
Contribute to Open-Source Responsible AI Projects
Show steps
Gain practical experience and contribute to the Responsible AI community by participating in open-source projects.
Show steps
Show steps
Show steps
- Identify open-source projects focused on Responsible AI.
- Review the project's documentation and contribute code, documentation, or issue reports.
Mentor Junior Developers on Responsible AI
Show steps
Share your knowledge and make a meaningful impact by mentoring junior developers or students on Responsible AI principles.
Show steps
Show steps
Show steps
- Identify junior developers or students who are interested in learning about Responsible AI.
- Provide guidance and support on best practices for developing and deploying responsible AI systems.
Career center
Learners who complete Introduction to Responsible AI - Bahasa Indonesia will develop knowledge and skills
that may be useful to these careers:
Insinyur AI
Insinyur AI
Insinyur AI menerapkan prinsip-prinsip ilmu komputer dan rekayasa untuk merancang, mengembangkan, dan menguji sistem AI. Kursus ini dapat membantu Insinyur AI memahami prinsip-prinsip AI yang bertanggung jawab, yang penting untuk memastikan bahwa sistem AI dikembangkan dan digunakan secara etis. Kursus ini juga memperkenalkan 7 prinsip AI Google, yang dapat menjadi panduan berharga bagi Insinyur AI saat membuat sistem AI.
Peneliti AI
Peneliti AI
Peneliti AI bertugas mendesain, mengembangkan, dan menguji sistem kecerdasan buatan (AI). Kursus ini dapat membantu Peneliti AI memahami prinsip-prinsip AI yang bertanggung jawab, yang penting untuk memastikan bahwa sistem AI dikembangkan dan digunakan secara etis. Kursus ini juga memperkenalkan 7 prinsip AI Google, yang dapat menjadi panduan berharga bagi Peneliti AI saat membuat sistem AI.
Konsultan AI
Konsultan AI
Konsultan AI memberikan panduan dan dukungan kepada organisasi dalam menerapkan solusi AI. Kursus ini dapat membantu Konsultan AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa mereka memberikan saran yang etis dan bertanggung jawab kepada klien.
Analis Bisnis
Analis Bisnis
Analis Bisnis mengidentifikasi dan menganalisis kebutuhan bisnis, dan mengembangkan solusi untuk memenuhi kebutuhan tersebut. Kursus ini dapat membantu Analis Bisnis memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa solusi yang mereka kembangkan mempertimbangkan implikasi etis dan sosial dari AI.
Manajer Produk
Manajer Produk
Manajer Produk bertanggung jawab untuk perencanaan, pengembangan, dan peluncuran produk. Kursus ini dapat membantu Manajer Produk memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa produk yang mereka kembangkan mempertimbangkan implikasi etis dan sosial dari AI.
Pengembang Perangkat Lunak
Pengembang Perangkat Lunak
Pengembang Perangkat Lunak merancang, mengembangkan, dan memelihara perangkat lunak. Kursus ini dapat membantu Pengembang Perangkat Lunak memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa perangkat lunak yang mereka kembangkan mempertimbangkan implikasi etis dan sosial dari AI.
Arsitek Solusi
Arsitek Solusi
Arsitek Solusi merancang dan mengembangkan solusi teknologi untuk organisasi. Kursus ini dapat membantu Arsitek Solusi memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa solusi yang mereka rancang mempertimbangkan implikasi etis dan sosial dari AI.
Manajer Inovasi
Manajer Inovasi
Manajer Inovasi bertanggung jawab untuk mengelola dan mendorong inovasi dalam organisasi. Kursus ini dapat membantu Manajer Inovasi memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa inisiatif inovasi mereka mempertimbangkan implikasi etis dan sosial dari AI.
Pendidik AI
Pendidik AI
Pendidik AI mengajarkan prinsip dan praktik AI kepada siswa. Kursus ini dapat membantu Pendidik AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat mereka ajarkan kepada siswa mereka untuk memastikan bahwa mereka memahami implikasi etis dan sosial dari AI.
Pembuat Kebijakan
Pembuat Kebijakan
Pembuat Kebijakan mengembangkan dan mengimplementasikan kebijakan publik yang berdampak pada masyarakat. Kursus ini dapat membantu Pembuat Kebijakan memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat digunakan untuk memastikan bahwa kebijakan yang mereka kembangkan mempertimbangkan implikasi etis dan sosial dari AI.
Jurnalis AI
Jurnalis AI
Jurnalis AI menulis dan melaporkan tentang AI dan implikasinya bagi masyarakat. Kursus ini dapat membantu Jurnalis AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat mereka gunakan untuk melaporkan secara akurat dan obyektif tentang AI.
Advokat Kebijakan AI
Advokat Kebijakan AI
Advokat Kebijakan AI mengadvokasi kebijakan publik yang mendukung pengembangan dan penggunaan AI yang bertanggung jawab. Kursus ini dapat membantu Advokat Kebijakan AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat mereka gunakan untuk mengembangkan dan mengadvokasi kebijakan yang mempertimbangkan implikasi etis dan sosial dari AI.
Peneliti Kebijakan AI
Peneliti Kebijakan AI
Peneliti Kebijakan AI meneliti implikasi etis dan sosial dari AI dan mengembangkan rekomendasi kebijakan. Kursus ini dapat membantu Peneliti Kebijakan AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat mereka gunakan untuk menginformasikan penelitian dan rekomendasi kebijakan mereka.
Penasihat Etika AI
Penasihat Etika AI
Penasihat Etika AI memberikan nasihat dan bimbingan kepada organisasi tentang implikasi etis dan sosial dari AI. Kursus ini dapat membantu Penasihat Etika AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat mereka gunakan untuk memberikan nasihat yang bijaksana dan berwawasan luas kepada klien.
Manajer Risiko AI
Manajer Risiko AI
Manajer Risiko AI mengidentifikasi dan mengelola risiko yang terkait dengan AI. Kursus ini dapat membantu Manajer Risiko AI memahami prinsip-prinsip AI yang bertanggung jawab, yang dapat mereka gunakan untuk mengidentifikasi dan memitigasi risiko yang terkait dengan pengembangan dan penggunaan AI.
For more career information including salaries, visit:
OpenCourser.com/course/idqiz4/introduction
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Introduction to Responsible AI - Bahasa Indonesia.
Provides a comprehensive overview of the field of responsible AI, covering topics such as fairness, accountability, and transparency. It valuable resource for anyone looking to learn more about the ethical implications of AI.
Provides a comprehensive overview of the field of AI ethics, covering topics such as fairness, accountability, and transparency. It valuable resource for anyone looking to learn more about the ethical implications of AI.
Provides a comprehensive overview of the field of machine learning from a probabilistic perspective. It valuable resource for anyone looking to learn more about the mathematical foundations of AI.
Provides a comprehensive overview of the field of deep reinforcement learning. It valuable resource for anyone looking to learn more about the latest advances in AI.
Save
Provides a comprehensive overview of the field of machine learning, covering topics such as supervised learning, unsupervised learning, and deep learning. It valuable resource for anyone looking to learn more about the technical aspects of AI.
Save
Comprehensive overview of the field of deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone looking to learn more about the latest advances in AI.
Provides a practical guide to deep learning using the Python programming language. It valuable resource for anyone looking to learn more about the practical aspects of deep learning.
Save
Provides a thought-provoking exploration of the future of humanity in the age of AI. It valuable resource for anyone looking to learn more about the potential benefits and risks of AI.
Save
Provides a comprehensive overview of the potential implications of AI for humanity, covering topics such as the singularity and the future of consciousness. It valuable resource for anyone looking to learn more about the philosophical implications of AI.
Save
Provides a thought-provoking exploration of the potential risks of AI, including the possibility of a superintelligence that could pose a threat to humanity. It valuable resource for anyone looking to learn more about the existential risks of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/idqiz4/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Transcript
Bahasa Indonesia
Good to know
Explores responsible AI, which has emerged as a critical topic in industry and academia
Taught by Google Cloud Training, recognized for their expertise in Google AI products and services
Builds understanding of Google's 7 principles for responsible AI
Designed for beginners, providing a foundational understanding of responsible AI
Introduces concepts relevant to both technical and non-technical audiences
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