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Introduction to Responsible AI - בעברית
Google Cloud Training
Google Cloud Training
זהו קורס מבוא ממוקד שמטרתו להסביר מהי אתיקה של בינה מלאכותית, למה היא חשובה ואיך Google נוהגת לפי כללי האתיקה של הבינה המלאכותית במוצרים שלה. מוצגים בו גם 7 עקרונות ה-AI של Google.
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What's inside
Syllabus
מבוא לאתיקה של בינה מלאכותית
זהו קורס מבוא ממוקד שמטרתו להסביר מהי אתיקה של בינה מלאכותית, למה היא חשובה ואיך Google נוהגת לפי כללי האתיקה של הבינה המלאכותית במוצרים שלה. מוצגים בו גם 7 עקרונות ה-AI של Google.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers fundamental concepts of AI ethics and its significance
Explores the ethical principles that guide Google's development and deployment of AI technologies
Suitable for individuals interested in understanding the ethical considerations surrounding AI development and use
Facilitated by Google Cloud Training, known for expertise in AI and cloud computing
Provides a solid foundation for further exploration of AI ethics
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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 - בעברית with these
activities:
Review AI Ethics and AI Principles
Show steps
Reviewing AI ethical AI principles before starting coursework will help you become familiar with the foundational principles of AI ethics.
Browse courses on
AI Principles
Show steps
-
Read the Google AI Principles
-
Watch the Coursera video on AI Ethics
-
Take notes on the key ethical concepts covered
Develop an AI Ethics Policy
Show steps
Completing an AI ethics policy will help reinforce your understanding of the ethical principles and best practices for developing AI systems.
Browse courses on
Responsible AI Development
Show steps
-
Identify the ethical risks of your AI system
-
Develop a policy that addresses the risks identified
-
Get feedback on the policy from stakeholders
-
Implement the policy in your AI development process
Participate in AI Ethics Competitions
Show steps
Participating in AI ethics competitions is an excellent way to test your skills and learn from others in the field.
Browse courses on
Responsible AI Development
Show steps
-
Find AI ethics competitions that interest you
-
Form a team or work on your own
-
Develop an innovative solution to the challenge
-
Submit your solution and get feedback
Two other activities
Expand to see all activities and additional details
Show all five activities
Attend AI Ethics Workshops
Show steps
Enrolling in AI ethics workshops will immerse yourself in the topic and receive guidance from industry experts.
Browse courses on
Responsible AI Development
Show steps
-
Find AI ethics workshops that fit your interests
-
Register for the workshops
-
Attend the workshops and actively participate
-
Apply what you learned to your own AI projects
Become a Mentor for AI Ethics
Show steps
Mentoring others in AI ethics will not only help them, but it will also deepen your own understanding of the topic.
Browse courses on
Responsible AI Development
Show steps
-
Find opportunities to mentor others in AI ethics
-
Share your knowledge and experience
-
Provide guidance and support
-
Encourage others to develop their own AI ethics skills
Review AI Ethics and AI Principles
Show steps
Reviewing AI ethical AI principles before starting coursework will help you become familiar with the foundational principles of AI ethics.
Browse courses on
AI Principles
Show steps
Show steps
Show steps
- Read the Google AI Principles
- Watch the Coursera video on AI Ethics
- Take notes on the key ethical concepts covered
Develop an AI Ethics Policy
Show steps
Completing an AI ethics policy will help reinforce your understanding of the ethical principles and best practices for developing AI systems.
Browse courses on
Responsible AI Development
Show steps
Show steps
Show steps
- Identify the ethical risks of your AI system
- Develop a policy that addresses the risks identified
- Get feedback on the policy from stakeholders
- Implement the policy in your AI development process
Participate in AI Ethics Competitions
Show steps
Participating in AI ethics competitions is an excellent way to test your skills and learn from others in the field.
Browse courses on
Responsible AI Development
Show steps
Show steps
Show steps
- Find AI ethics competitions that interest you
- Form a team or work on your own
- Develop an innovative solution to the challenge
- Submit your solution and get feedback
Two other activities
Expand to see all activities and additional details
Show all five activities
Attend AI Ethics Workshops
Show steps
Enrolling in AI ethics workshops will immerse yourself in the topic and receive guidance from industry experts.
Browse courses on
Responsible AI Development
Show steps
Show steps
Show steps
- Find AI ethics workshops that fit your interests
- Register for the workshops
- Attend the workshops and actively participate
- Apply what you learned to your own AI projects
Become a Mentor for AI Ethics
Show steps
Mentoring others in AI ethics will not only help them, but it will also deepen your own understanding of the topic.
Browse courses on
Responsible AI Development
Show steps
Show steps
Show steps
- Find opportunities to mentor others in AI ethics
- Share your knowledge and experience
- Provide guidance and support
- Encourage others to develop their own AI ethics skills
Career center
Learners who complete Introduction to Responsible AI - בעברית will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain AI systems. They must have a deep understanding of AI principles, as well as the ethical implications of AI. This course provides a comprehensive overview of AI ethics, helping AI Engineers to build responsible and trustworthy AI systems.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. They need to understand the ethical implications of machine learning, as models can potentially be biased or discriminatory. This course provides a solid foundation in AI ethics, helping Machine Learning Engineers to build fair and responsible machine learning models.
Data Scientist
Data Scientist
Data Scientists analyze data to extract meaningful insights and develop predictive models. An understanding of responsible AI principles is essential for Data Scientists, as it enables them to create and deploy AI systems that are fair, unbiased, and transparent. This course provides a solid foundation in AI ethics, which can help Data Scientists build robust and ethical AI systems.
Product Manager
Product Manager
Product Managers define the vision and roadmap for products. They need to understand the ethical implications of products, as products can potentially have a negative impact on society. This course provides a foundation in AI ethics, helping Product Managers to develop responsible and ethical products.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They must have a strong understanding of software engineering principles, as well as the ethical implications of software development. This course provides a foundation in AI ethics, helping Software Engineers to build responsible and ethical software systems.
UX Designer
UX Designer
UX Designers design user interfaces for products. They need to understand the ethical implications of UX design, as user interfaces can potentially be biased or discriminatory. This course provides a foundation in AI ethics, helping UX Designers to create responsible and ethical user interfaces.
Data Analyst
Data Analyst
Data Analysts analyze data to extract meaningful insights. They need to understand the ethical implications of data analysis, as data can potentially be used to discriminate or harm individuals. This course provides a foundation in AI ethics, helping Data Analysts to conduct ethical and responsible data analysis.
Business Analyst
Business Analyst
Business Analysts analyze business processes and systems. They need to understand the ethical implications of business analysis, as business analysis can potentially lead to the development of harmful or biased systems. This course provides a foundation in AI ethics, helping Business Analysts to conduct responsible and ethical business analysis.
Data Engineer
Data Engineer
Data Engineers design, develop, and maintain data pipelines. They need to understand the ethical implications of data engineering, as data pipelines can potentially be used to discriminate or harm individuals. This course provides a foundation in AI ethics, helping Data Engineers to build responsible and ethical data pipelines.
AI Researcher
AI Researcher
AI Researchers develop new AI algorithms and techniques. They need to understand the ethical implications of AI research, as AI research can potentially lead to the development of harmful or biased AI systems. This course provides a foundation in AI ethics, helping AI Researchers to conduct responsible and ethical AI research.
Consultant
Consultant
Consultants advise clients on how to solve business problems. They need to understand the ethical implications of consulting, as consulting can potentially lead to the development of harmful or biased systems. This course provides a foundation in AI ethics, helping Consultants to provide responsible and ethical advice to their clients.
Project Manager
Project Manager
Project Managers plan and execute projects. They need to understand the ethical implications of project management, as projects can potentially have a negative impact on society. This course provides a foundation in AI ethics, helping Project Managers to manage responsible and ethical projects.
Lawyer
Lawyer
Lawyers advise clients on legal issues. They need to understand the ethical implications of law, as law can potentially be used to discriminate or harm individuals. This course provides a foundation in AI ethics, helping Lawyers to provide responsible and ethical legal advice to their clients.
Policy Analyst
Policy Analyst
Policy Analysts develop and analyze public policy. They need to understand the ethical implications of policy analysis, as policy analysis can potentially lead to the development of harmful or biased policies. This course provides a foundation in AI ethics, helping Policy Analysts to develop and analyze responsible and ethical public policies.
Ethnographer
Ethnographer
Ethnographers study human behavior and culture. They need to understand the ethical implications of ethnography, as ethnography can potentially be used to exploit or harm individuals. This course provides a foundation in AI ethics, helping Ethnographers to conduct responsible and ethical ethnographic research.
For more career information including salaries, visit:
OpenCourser.com/course/z08jp5/introduction
Reading list
We've selected nine 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 - בעברית.
Provides a practical guide to the development and deployment of AI solutions. It covers the key steps involved in the AI development process, from data collection and preprocessing to model training and evaluation. It valuable resource for learners who want to gain hands-on experience with AI technologies.
Save
Provides a comprehensive overview of the field of deep learning, covering the fundamental concepts and algorithms that underpin the development of deep learning models. It valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of deep learning.
Save
Provides a comprehensive overview of the field of machine learning, covering the fundamental concepts and algorithms that underpin the development of machine learning models. It valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of machine learning.
Provides a comprehensive overview of the field of natural language processing, covering the fundamental concepts and algorithms that underpin the development of natural language processing systems. It valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of natural language processing.
Save
Provides a comprehensive overview of the field of computer vision, covering the fundamental concepts and algorithms that underpin the development of computer vision systems. It valuable resource for learners who want to gain a deeper understanding of the theoretical foundations of computer vision.
Save
Explores the rise of algorithmic decision-making and its impact on society, examining the ways in which AI algorithms are shaping our lives and challenging our understanding of democracy and human agency.
Save
Examines the dangers of mathematical models and algorithms, exploring the ways in which AI algorithms can be used to manipulate and exploit people. It provides insights into the ways in which AI algorithms can perpetuate bias and discrimination.
Provides a thought-provoking look at the potential future of AI, exploring the ways in which AI is likely to impact our lives and society in the years to come. It offers insights into the ways in which AI can be used to solve some of the world's most pressing challenges.
Provides a comprehensive overview of the ethical issues surrounding the development and use of AI, exploring the potential benefits and risks of AI technologies.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z08jp5/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Transcript
עברית
Good to know
Covers fundamental concepts of AI ethics and its significance
Explores the ethical principles that guide Google's development and deployment of AI technologies
Suitable for individuals interested in understanding the ethical considerations surrounding AI development and use
Facilitated by Google Cloud Training, known for expertise in AI and cloud computing
Provides a solid foundation for further exploration of AI ethics
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