Responsible AI: Applying AI Principles with GC - Yкраїнська from Coursera

Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації.

У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.

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Вступ

У цьому модулі ви дізнаєтеся про вплив технологій штучного інтелекту й розглянете підхід Google до їх відповідального використання. Крім того, ви ознайомитеся з принципами Google щодо ШІ.

Бізнес-модель відповідального використання ШІ

У цьому модулі ви дізнаєтесь, як створити бізнес-модель відповідального використання штучного інтелекту (на основі звіту "The Business Case for Ethics by Design" від аналітичного центру Economist Intelligence Unit).

Технічні аспекти й етичні проблеми ШІ

У цьому модулі ви дізнаєтеся про важливі етичні дилеми й розглянете, як нові технології, зокрема генеративний ШІ, можуть висвітлити етичні проблеми, що потребують вирішення.

Розробка принципів щодо ШІ

У цьому модулі ви дізнаєтесь, як було розроблено принципи Google щодо ШІ, а також розглянете етичні цілі кожного з них.

Запровадження принципів щодо штучного інтелекту: реалізація і перевірка

У цьому модулі ви дізнаєтеся про практичне застосування відповідального підходу до штучного інтелекту, а також розглянете, як реалізувати принципи ШІ й перевірити їх роботу.

Запровадження принципів щодо штучного інтелекту: виявлення проблем і застосування набутих знань

У цьому модулі ви дізнаєтесь, як виявляти можливі етичні проблеми і які запитання можуть допомогти вам критично оцінити потенційну користь і шкоду в конкретному сценарії застосування.

Подальші кроки на шляху до відповідального використання ШІ

У цьому модулі ви дізнаєтесь, які наступні кроки чекають на вас на шляху до відповідального використання ШІ, а також ознайомитеся з деякими корисними ресурсами.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Висвітлює етичні проблеми ШІ, які посилюються через нові технології

Засновується на досвіді Google у відповідальному використанні ШІ

Розглядає бізнес-випадок для відповідального ШІ, виходячи з дослідження Economist Intelligence Unit

Надає практичні поради та навички для розробки політики відповідального ШІ у вашій організації

Вимагає досвіду в ШІ або пов'язаній сфері

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 Responsible AI: Applying AI Principles with GC - Yкраїнська with these activities:

Review concepts of artificial intelligence and machine learning

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Reviewing foundational concepts in AI and ML will help you better understand the principles and applications discussed in this course.

Browse courses on Artificial Intelligence

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Read through your notes or textbooks from previous courses on AI and ML.
Take practice quizzes or mock tests to assess your understanding.

Follow tutorials on responsible AI principles in practice

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Hands-on tutorials will provide you with practical experience in implementing responsible AI principles.

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Identify reputable sources offering tutorials on responsible AI practices.
Follow step-by-step guides to implement responsible AI principles in your projects.
Experiment with different techniques and tools to enhance your understanding.

Discuss ethical considerations in AI projects with peers

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Engaging in discussions will help you refine your understanding of ethical implications and gain diverse perspectives.

Browse courses on Ethical Considerations

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Join online forums or study groups dedicated to responsible AI.
Participate in discussions, present your views, and engage with others' ideas.

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Develop a case study on a responsible AI implementation

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Creating a case study will allow you to apply your knowledge and analyze real-world examples of responsible AI.

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Identify an organization or project that demonstrates responsible AI practices.
Research and gather information on the project's goals, methods, and outcomes.
Analyze the project's adherence to ethical principles and identify areas for improvement.
Write a report summarizing your findings and recommendations.

Mentor junior AI professionals on responsible AI principles

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Mentoring others will reinforce your understanding of responsible AI principles and allow you to share your knowledge.

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Identify opportunities to mentor junior AI professionals through programs or initiatives.
Share your knowledge and experiences on responsible AI practices.
Provide guidance and support to mentees as they navigate ethical challenges.

Contribute to open-source projects promoting responsible AI

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Contributing to open-source projects will allow you to engage with the broader AI community and support the development of responsible AI tools and resources.

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Identify open-source projects focused on promoting responsible AI.
Review the project's documentation and codebase.
Identify areas where you can contribute your skills and knowledge.
Submit pull requests or collaborate with the project maintainers.

Career center

Learners who complete Responsible AI: Applying AI Principles with GC - Yкраїнська will develop knowledge and skills that may be useful to these careers:

AI Researcher

An AI Researcher develops new algorithms and techniques for artificial intelligence. This course may be useful for AI Researchers because it provides a theoretical foundation for the principles of responsible AI, including how to evaluate the ethical implications of different AI technologies.

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Software Engineer

A Software Engineer develops and maintains software applications. This course may be useful for Software Engineers because it provides a practical understanding of how to apply the principles of responsible AI to software development.

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AI Engineer

An AI Engineer develops and implements artificial intelligence solutions. This course may be useful for AI Engineers because it provides a practical understanding of how to apply the principles of responsible AI to real-world projects.

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Data Scientist

A Data Scientist collects, analyzes, and interprets data to uncover insights and trends. This course may be useful for Data Scientists because it provides a practical understanding of how to apply the principles of responsible AI to data science projects.

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Risk Manager

A Risk Manager identifies, assesses, and mitigates risks. This course may be useful for Risk Managers because it provides a practical understanding of how to apply the principles of responsible AI to risk management.

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Technical Writer

A Technical Writer creates documentation for software and other technical products. This course may be useful for Technical Writers because it provides a practical understanding of how to apply the principles of responsible AI to technical writing.

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UX Designer

A UX Designer designs the user experience for software and other products. This course may be useful for UX Designers because it provides a practical understanding of how to apply the principles of responsible AI to UX design.

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Systems Analyst

A Systems Analyst analyzes and designs computer systems. This course may be useful for Systems Analysts because it provides a practical understanding of how to apply the principles of responsible AI to systems analysis and design.

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Software Architect

A Software Architect designs and develops software systems. This course may be useful for Software Architects because it provides a comprehensive overview of the principles of responsible AI, including how to identify and mitigate ethical risks.

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Quality Assurance Analyst

A Quality Assurance Analyst tests and evaluates software to ensure that it meets quality standards. This course may be useful for Quality Assurance Analysts because it provides a practical understanding of how to apply the principles of responsible AI to software testing.

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Project Manager

A Project Manager plans, executes, and closes projects. This course may be useful for Project Managers because it provides a practical understanding of how to apply the principles of responsible AI to project management.

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AI Architect

An AI Architect designs, builds, and maintains the infrastructure and applications that power artificial intelligence systems. This course may be useful for AI Architects because it provides a comprehensive overview of the principles of responsible AI, including how to identify and mitigate ethical risks.

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Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for Machine Learning Engineers because it provides a comprehensive overview of the principles of responsible AI, including how to identify and mitigate ethical risks.

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Web Developer

A Web Developer develops and maintains websites. This course may be useful for Web Developers because it provides a practical understanding of how to apply the principles of responsible AI to web development.

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Product Manager

A Product Manager is responsible for the development and launch of new products and services. This course may be useful for Product Managers because it provides a practical understanding of how to apply the principles of responsible AI to product development.

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Responsible AI

Applying AI Principles with GC - Yкраїнська

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