Responsible AI: Applying AI Principles with GC

What's inside

Syllabus

소개

이 모듈에서는 AI 기술이 미치는 영향과 책임감 있는 AI에 대한 Google의 접근 방식에 대해 알아보고 Google의 AI 원칙을 소개합니다.

책임감 있는 AI 비즈니스 사례

이 모듈에서는 Economist Intelligence Unit의 'The Business Case for Ethics by Design' 보고서를 토대로 책임감 있는 AI 비즈니스 사례를 만드는 방법을 알아봅니다.

AI의 기술적 고려사항과 윤리적 우려

이 모듈에서는 윤리적 딜레마에 대해 알아보고 생성형 AI와 같은 신기술이 어떻게 해결이 필요한 윤리적 우려를 낳는지 살펴봅니다.

AI 원칙 수립

이 모듈에서는 Google의 AI 원칙을 어떻게 개발했는지 알아보고 각 원칙의 윤리적 목표를 살펴봅니다.

AI 원칙 운영: 설정 및 검토 실행

이 모듈에서는 책임감 있는 AI의 현실적인 응용에 대해 알아보고 설정 및 검토 실행을 통해 AI 원칙을 운영하는 방법을 살펴봅니다.

AI 원칙 운영: 문제 발견과 교훈

이 모듈에서는 가능한 윤리적 문제를 파악하는 프로세스를 알아보고 문제 발견 질문을 통해 사용 사례의 잠재적인 득과 실에 대해 비판적으로 생각해 봅니다.

책임감 있는 AI를 향한 지속적 여정

이 모듈에서는 책임감 있는 AI 여정을 지속하기 위해 사용할 수 있는 다음 단계와 리소스에 대해 알아봅니다.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches the understanding of successful use cases of AI in business and how to implement them within an organization

Explore the latest research and ideas in the field of responsible AI

Develop the skills necessary to develop products in keeping with Google's AI best practices in responsible development

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 - 한국어 with these activities:

Review the Google AI Principles

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Refresh your understanding of the core principles that guide Google's approach to AI development.

Browse courses on Google AI Principles

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Read the Google AI Principles.
Summarize the key principles and their implications.

Consolidate learning materials

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Review and organize course materials to be more familiar with course content

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Organize online and offline learning materials
Consolidate notes and prioritize topics
Identify additional resources to supplement official course materials
Create study schedule and stick to it

Explore the latest AI ethical guidelines

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Stay up-to-date with the evolving landscape of AI ethics by reviewing resources from leading organizations.

Browse courses on AI Ethics

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Identify reputable sources for AI ethical guidelines.
Read and analyze the guidelines.
Summarize the key principles and insights.

Five other activities

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Analyze AI case studies

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Deepen your understanding of AI ethics by examining real-world scenarios and their ethical implications.

Browse courses on AI Ethics

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Select a case study that aligns with your interests.
Identify the ethical issues raised by the case.
Consider the different perspectives and stakeholders involved.
Develop recommendations for ethical decision-making.

Attend a workshop on AI ethics

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Participate in live discussions, gain practical insights, and network with experts in the field of AI ethics.

Browse courses on AI Ethics

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Research and identify relevant workshops.
Register for the workshop and participate actively.
Connect with speakers and attendees.
Apply the knowledge gained to your AI projects.

Write a blog post on AI ethics

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Sharpen your critical thinking and communication skills by sharing your insights on AI ethics in a public forum.

Browse courses on AI Ethics

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Choose a specific aspect of AI ethics to focus on.
Research and gather evidence to support your ideas.
Craft a clear and engaging narrative.
Publish your post on a reputable platform.

Develop an AI ethics policy for your organization

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Demonstrate your understanding of AI ethics by creating a practical framework for your own organization.

Browse courses on Ethics in AI

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Identify the specific AI ethical issues relevant to your organization.
Research and consult with experts to develop policy guidelines.
Draft and refine the AI ethics policy.
Implement and monitor the policy within your organization.

Participate in an AI ethics hackathon

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Challenge yourself to develop innovative solutions that address ethical concerns in AI applications.

Browse courses on AI Ethics

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Identify an AI ethics hackathon that aligns with your interests.
Form a team or work independently.
Develop a project proposal that tackles an AI ethical challenge.
Build and test your solution within the specified timeframe.
Present your project to a panel of judges.

Career center

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

AI Governance Specialist

AI Governance Specialists tasked with developing and implementing policies for responsible AI practices should enroll in this course. It provides insights into Google's approach to AI governance and offers practical guidance on establishing clear ethical guidelines and accountability mechanisms for AI initiatives.

See salaries and explore the career path for AI Governance Specialist

AI Ethicist

AI Ethicists responsible for guiding organizations on the ethical implications of AI technologies should enroll in this course. It provides a solid foundation in AI ethics, including Google's AI principles, and offers practical tools for identifying and addressing ethical challenges in AI development and deployment.

See salaries and explore the career path for AI Ethicist

AI Architect

AI Architects responsible for designing and overseeing AI solutions should consider this course. It offers a framework for establishing AI principles within an organization, ensuring that AI systems align with ethical and responsible practices throughout their lifecycle.

See salaries and explore the career path for AI Architect

AI Policy Advisor

AI Policy Advisors who influence and shape policies related to AI ethics and responsible development should take this course. It offers a comprehensive overview of the ethical considerations and challenges in AI, helping advisors make informed recommendations and advocate for responsible AI practices.

See salaries and explore the career path for AI Policy Advisor

AI Risk Manager

AI Risk Managers tasked with identifying and mitigating risks associated with AI systems should consider this course. It provides a comprehensive framework for understanding and managing AI risks, including ethical considerations, bias mitigation, and security concerns.

See salaries and explore the career path for AI Risk Manager

AI Regulatory Compliance Officer

AI Regulatory Compliance Officers responsible for ensuring compliance with AI-related regulations and ethical guidelines should take this course. It offers insights into the regulatory landscape surrounding AI and provides practical guidance on developing and implementing compliance frameworks.

See salaries and explore the career path for AI Regulatory Compliance Officer

AI Auditor

AI Auditors responsible for assessing the ethical and responsible implementation of AI systems should enroll in this course. It offers a structured approach to auditing AI systems, including evaluating compliance with ethical principles, data privacy, and fairness considerations.

See salaries and explore the career path for AI Auditor

Machine Learning Engineer

Machine Learning Engineers focused on developing and deploying AI systems responsibly should take this course. It provides guidance on incorporating Google's AI principles into the design and implementation of ML models, empowering engineers to build ethical and trustworthy systems.

See salaries and explore the career path for Machine Learning Engineer

AI Researcher

AI Researchers exploring the frontiers of AI technology should take this course. It offers insights into the ethical implications of emerging AI capabilities and provides a framework for responsible research practices, ensuring that AI advancements align with societal values.

See salaries and explore the career path for AI Researcher

AI Educator

AI Educators responsible for teaching AI concepts and principles should enroll in this course. It offers a structured approach to incorporating ethical considerations into AI education, ensuring that students develop a strong understanding of the ethical implications and responsible practices in AI.

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AI Product Manager

AI Product Managers responsible for developing and launching AI-powered products should take this course. It provides guidance on incorporating ethical considerations into product design, ensuring that AI products align with user values and gesellschaftliche standards.

See salaries and explore the career path for AI Product Manager

AI Project Manager

AI Project Managers responsible for managing AI projects should consider this course. It offers tools and techniques for incorporating ethical considerations into project planning, execution, and evaluation, helping ensure that AI projects deliver responsible outcomes.

See salaries and explore the career path for AI Project Manager

Data Scientist

Data Scientists specializing in the ethical and responsible implementation of AI models should consider this course. It offers insight into Google's AI principles and how to establish a framework for responsible AI adoption. This can help Data Scientists ensure that their models align with ethical considerations and promote fair and unbiased outcomes.

See salaries and explore the career path for Data Scientist

AI Developer

AI Developers who write code for AI systems should enroll in this course. It provides guidance on coding practices that promote ethical and responsible AI development, including techniques for mitigating bias, ensuring data privacy, and addressing safety concerns.

See salaries and explore the career path for AI Developer

AI Evangelist

AI Evangelists responsible for promoting and educating stakeholders about AI should consider this course. It provides a comprehensive overview of the benefits and challenges of AI, including ethical considerations, helping evangelists effectively communicate the importance of responsible AI adoption.

See salaries and explore the career path for AI Evangelist