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Kelvin Lwin
This nontechnical course provides an overview of artificial intelligence advancements and the ethical challenges we now face as we navigate the development, implementation, and ubiquitous global use of AI.
Register for this course and see more details by visiting:
OpenCourser.com/course/6zo1ad/ai
What's inside
Syllabus
Definitions and Discriminators
Learning
Perception and Empathy
Read more
Syllabus
Definitions and Discriminators
Learning
Perception and Empathy
Read more
AI and the Future
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines ethical challenges in AI, making it relevant for those interested in the societal impact of technology
Appropriate for non-technical individuals, enabling a wider audience to engage with AI's advancements and implications
Taught by Kelvin Lwin, providing learners with insights from an experienced professional in the field of AI
Part of a series of courses, suggesting a comprehensive approach to AI and its ethical considerations
May require prerequisite knowledge in AI or related fields, potentially limiting accessibility for complete beginners
Save this course
Save AI, Empathy & Ethics 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 AI, Empathy & Ethics with these
activities:
Review core math concepts
Show steps
Strengthen your foundational knowledge by reviewing core math concepts.
Browse courses on
Linear Algebra
Show steps
-
Identify the core math concepts that are essential for AI.
-
Review textbooks, online resources, or tutorials on these concepts.
-
Solve practice problems to test your understanding.
Review foundational reading
Show steps
Familiarize yourself with the core concepts of artificial intelligence by reading this renowned textbook.
View
Melania
on Amazon
Show steps
-
Read the introduction and the first three chapters of the book.
-
Summarize the main ideas and concepts covered in each chapter.
Organize your course materials
Show steps
Improve your learning experience by organizing your course materials effectively.
Show steps
-
Create a dedicated folder or notebook for course materials.
-
File and organize lecture notes, assignments, quizzes, and other resources.
-
Review and revisit your organized materials regularly.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on AI frameworks
Show steps
Enhance your practical skills by following tutorials on popular AI frameworks.
Browse courses on
TensorFlow
Show steps
-
Identify reputable tutorials or courses on AI frameworks such as TensorFlow or PyTorch.
-
Follow the tutorials step-by-step.
-
Build and train your own AI models using the frameworks.
Work through practice problems
Show steps
Strengthen your understanding of AI algorithms by solving practice problems.
Browse courses on
AI Algorithms
Show steps
-
Find a collection of practice problems online or in textbooks.
-
Attempt to solve the problems on your own.
-
Check your solutions against the provided answers.
Engage in peer discussions
Show steps
Deepen your understanding by discussing course material with peers.
Show steps
-
Join online forums or discussion groups.
-
Participate in discussions, ask questions, and share your insights.
-
Collaborate with peers on projects orassignments.
Develop a project proposal
Show steps
Solidify your understanding of AI by designing a project proposal.
Show steps
-
Brainstorm potential project ideas.
-
Research and identify a specific problem or challenge that you want to address with your project.
-
Develop a detailed project proposal that outlines your project goals, methodology, and expected outcomes.
Review core math concepts
Show steps
Strengthen your foundational knowledge by reviewing core math concepts.
Browse courses on
Linear Algebra
Show steps
Show steps
Show steps
- Identify the core math concepts that are essential for AI.
- Review textbooks, online resources, or tutorials on these concepts.
- Solve practice problems to test your understanding.
Review foundational reading
Show steps
Familiarize yourself with the core concepts of artificial intelligence by reading this renowned textbook.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and the first three chapters of the book.
- Summarize the main ideas and concepts covered in each chapter.
Organize your course materials
Show steps
Improve your learning experience by organizing your course materials effectively.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials.
- File and organize lecture notes, assignments, quizzes, and other resources.
- Review and revisit your organized materials regularly.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on AI frameworks
Show steps
Enhance your practical skills by following tutorials on popular AI frameworks.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Identify reputable tutorials or courses on AI frameworks such as TensorFlow or PyTorch.
- Follow the tutorials step-by-step.
- Build and train your own AI models using the frameworks.
Work through practice problems
Show steps
Strengthen your understanding of AI algorithms by solving practice problems.
Browse courses on
AI Algorithms
Show steps
Show steps
Show steps
- Find a collection of practice problems online or in textbooks.
- Attempt to solve the problems on your own.
- Check your solutions against the provided answers.
Engage in peer discussions
Show steps
Deepen your understanding by discussing course material with peers.
Show steps
Show steps
Show steps
- Join online forums or discussion groups.
- Participate in discussions, ask questions, and share your insights.
- Collaborate with peers on projects orassignments.
Develop a project proposal
Show steps
Solidify your understanding of AI by designing a project proposal.
Show steps
Show steps
Show steps
- Brainstorm potential project ideas.
- Research and identify a specific problem or challenge that you want to address with your project.
- Develop a detailed project proposal that outlines your project goals, methodology, and expected outcomes.
Career center
Learners who complete AI, Empathy & Ethics will develop knowledge and skills
that may be useful to these careers:
AI Researcher
AI Researcher
As an AI Researcher, your task is to improve existing artificial intelligence algorithms and develop new ones. You may specialize in areas such as computer vision or machine learning. This course in AI, Empathy & Ethics may help build a foundation for your career in AI by giving you a solid grounding in the concepts and techniques used in the field. By studying ethics in AI, you will also gain an understanding of the ethical implications of your work, which is important for developing AI systems that are safe and beneficial to society.
AI Engineer
AI Engineer
An AI Engineer designs, develops, and deploys AI systems for a variety of applications, such as self-driving cars, medical diagnosis, and fraud detection. This course in AI, Empathy & Ethics may provide you with the knowledge and skills needed to succeed in this role, as it will help you understand the fundamental principles of AI and the ethical considerations involved in its development and use.
Data Scientist
Data Scientist
Data Scientists use statistical and machine learning techniques to analyze data, identify trends, and make predictions. This course in AI, Empathy & Ethics can provide a strong foundation for a career in data science, as it will introduce you to the basic concepts and techniques used in the field. You will also gain an understanding of the ethical considerations involved in data collection and analysis, which is increasingly important in today's data-driven world.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models for use in a variety of applications, such as fraud detection, customer segmentation, and predictive analytics. This course in AI, Empathy & Ethics may be useful for those interested in a career in machine learning, as it will provide you with a foundational understanding of the concepts and techniques used in the field. You will also gain an understanding of the ethical implications of using machine learning, which is critical for developing systems that are fair, unbiased, and respectful of privacy.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, develop, and maintain robots for a variety of applications, such as manufacturing, healthcare, and space exploration. This course in AI, Empathy & Ethics can provide a valuable foundation for a career in robotics, as it will introduce you to the basic concepts and techniques used in the field. You will also gain an understanding of the ethical implications of developing and using robots, which is increasingly important as robots become more autonomous and capable.
Product Manager
Product Manager
Product Managers are responsible for defining the vision and roadmap for a product, and working with engineers and designers to bring it to life. This course in AI, Empathy & Ethics may be helpful for aspiring Product Managers, as it will provide you with an understanding of the concepts and techniques used in product development. You will also gain an understanding of the ethical considerations involved in developing and launching products, which is increasingly important in today's rapidly changing technological landscape.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications for a variety of purposes. This course in AI, Empathy & Ethics may be useful for aspiring Software Engineers, as it will provide you with a foundational understanding of the concepts and techniques used in software development. You will also gain an understanding of the ethical implications of developing and using software, which is increasingly important as software becomes more pervasive in our lives.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course in AI, Empathy & Ethics may be useful for aspiring Data Analysts, as it will provide you with an understanding of the concepts and techniques used in data analysis. You will also gain an understanding of the ethical considerations involved in collecting and using data, which is increasingly important in today's data-driven world.
User Experience Designer
User Experience Designer
User Experience Designers are responsible for designing and evaluating the user experience of products and services. This course in AI, Empathy & Ethics may be useful for aspiring User Experience Designers, as it will provide you with an understanding of the concepts and techniques used in user experience design. You will also gain an understanding of the ethical considerations involved in designing products and services, which is increasingly important as technology becomes more pervasive in our lives.
Policy Analyst
Policy Analyst
Policy Analysts develop and evaluate public policies. This course in AI, Empathy & Ethics may be useful for aspiring Policy Analysts, as it will provide you with an understanding of the concepts and techniques used in policy analysis. You will also gain an understanding of the ethical considerations involved in developing and evaluating public policies, which is increasingly important in today's complex and interconnected world.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and systems to identify areas for improvement. This course in AI, Empathy & Ethics may be useful for aspiring Business Analysts, as it will provide you with an understanding of the concepts and techniques used in business analysis. You will also gain an understanding of the ethical considerations involved in analyzing and improving business processes, which is increasingly important in today's rapidly changing business environment.
Management Consultant
Management Consultant
Management Consultants advise businesses on how to improve their operations and achieve their goals. This course in AI, Empathy & Ethics may be useful for aspiring Management Consultants, as it will provide you with an understanding of the concepts and techniques used in business consulting. You will also gain an understanding of the ethical considerations involved in advising businesses, which is increasingly important in today's complex and competitive business environment.
Journalist
Journalist
Journalists gather and report news and information to the public. This course in AI, Empathy & Ethics may be useful for aspiring Journalists, as it will provide you with an understanding of the concepts and techniques used in journalism. You will also gain an understanding of the ethical considerations involved in reporting news and information, which is increasingly important in today's rapidly changing media landscape.
Lawyer
Lawyer
Lawyers advise clients on legal matters and represent them in court. This course in AI, Empathy & Ethics may be useful for aspiring Lawyers, as it will provide you with an understanding of the concepts and techniques used in law. You will also gain an understanding of the ethical considerations involved in practicing law, which is increasingly important in today's complex and interconnected world.
Teacher
Teacher
Teachers educate students in a variety of subjects. This course in AI, Empathy & Ethics may be useful for aspiring Teachers, as it will provide you with an understanding of the concepts and techniques used in teaching. You will also gain an understanding of the ethical considerations involved in teaching, which is increasingly important in today's rapidly changing educational landscape.
For more career information including salaries, visit:
OpenCourser.com/course/6zo1ad/ai
Reading list
We've selected eight 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
AI, Empathy & Ethics.
Save
Examines the potential benefits and challenges of AI for businesses. It provides a framework for understanding AI and its impact on various industries.
Provides a gentle introduction to machine learning. It covers the basics of machine learning algorithms and how they can be used to solve real-world problems.
Provides a comprehensive overview of artificial intelligence. It covers the history of AI, the different types of AI, and the applications of AI in various fields.
Provides a clear and concise introduction to AI. It covers the key concepts of AI and their applications in the real world.
Save
Provides a comprehensive overview of deep learning. It covers the theory and practice of deep learning algorithms and their applications in various fields.
Provides a hands-on introduction to machine learning using Python. It covers the basics of machine learning algorithms and how to use them to build and deploy machine learning models.
Provides a comprehensive overview of machine learning using Python. It covers the theory and practice of machine learning algorithms and their applications in various fields.
Provides a comprehensive overview of machine learning using R. It covers the theory and practice of machine learning algorithms and their applications in various fields.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6zo1ad/ai
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Effort
Three weeks of study, 2-3 hours/week
Level
Introductory
Via
Coursera
Institution
University of California, Santa Cruz
Instructor
Kelvin Lwin
Language
English
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Good to know
Examines ethical challenges in AI, making it relevant for those interested in the societal impact of technology
Appropriate for non-technical individuals, enabling a wider audience to engage with AI's advancements and implications
Taught by Kelvin Lwin, providing learners with insights from an experienced professional in the field of AI
Part of a series of courses, suggesting a comprehensive approach to AI and its ethical considerations
May require prerequisite knowledge in AI or related fields, potentially limiting accessibility for complete beginners
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