Responsible AI: Applying AI Principles with GC

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Syllabus

Introdução

Neste módulo, você vai aprender sobre o impacto da tecnologia de IA e a abordagem do Google em relação à IA responsável, além de conhecer os princípios de IA do Google.

O caso de negócios da IA responsável

Neste módulo, você vai aprender a criar um caso de negócios para a IA responsável com base no relatório "The Business Case for Ethics by Design" da Economist Intelligence Unit.

Considerações técnicas e questões éticas da IA

Neste módulo, você vai aprender sobre dilemas éticos e como tecnologias emergentes, como a IA generativa, podem revelar preocupações éticas que precisam ser abordadas.

Criação dos princípios de IA

Neste módulo, você vai aprender como os princípios de IA do Google foram desenvolvidos e analisar os objetivos éticos de cada um deles.

Operacionalizar os princípios de IA: configuração e execução de avaliações

Neste módulo, você vai aprender sobre a prática da IA responsável e como operacionalizar os princípios de IA configurando e executando avaliações.

Operacionalizar os princípios de IA: identificação de problemas e lições aprendidas

Neste módulo, você vai aprender a identificar possíveis problemas éticos e ponderar sobre questões de identificação de problemas para pensar de maneira crítica nos benefícios e danos potenciais de um caso de uso.

Como continuar a jornada de adoção da IA responsável

Neste módulo, você vai aprender sobre as próximas etapas e recursos que podem ser usados para continuar sua jornada de adoção da IA responsável.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explora inteligência artificial ética e aprendizado de máquina, tópicos cada vez mais importantes e relevantes para indústrias

Oferecido pelo Google Cloud Training, uma organização reconhecida por sua expertise em computação em nuvem e aprendizado de máquina

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 - Português with these activities:

Review AI ethics principles

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Review the core principles of AI ethics, including fairness, transparency, and accountability.

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Read Google's AI Principles
Explore the OECD AI Principles
Consider the ethical implications of AI in your own field

Revise AI fundamentals

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Reviewing AI fundamentals will help you refresh your knowledge and strengthen your understanding of the concepts discussed in the course.

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Go over your notes or textbooks from previous AI courses.
Review online resources, such as articles, tutorials, or videos, to refresh your memory on key AI concepts.

Participate in a guided tutorial on AI ethics

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Participating in a guided tutorial on AI ethics will provide you with a structured learning experience and access to expert guidance.

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Identify an online or in-person tutorial on AI ethics.
Sign up and participate in the tutorial.

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Join an AI ethics discussion group

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Participating in an AI ethics discussion group will provide you with opportunities to engage with others, share ideas, and stay up-to-date on the latest developments in the field.

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Identify an online or in-person discussion group that focuses on AI ethics.
Attend meetings or participate in online discussions regularly.

Attend an AI ethics conference or workshop

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Attending an AI ethics conference or workshop will expose you to new ideas, best practices, and networking opportunities with experts in the field.

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Identify an AI ethics conference or workshop that aligns with your interests.
Register and attend the event.

Practice ethical dilemma identification

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By practicing identifying ethical dilemmas, you will develop a stronger ability to recognize and address ethical issues in AI development.

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Work through case studies or hypothetical scenarios to identify potential ethical issues.
Discuss ethical dilemmas with peers or experts in the field.

Contribute to open-source AI ethics projects

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Contributing to open-source AI ethics projects will allow you to apply your knowledge and skills while also making a valuable contribution to the field.

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Identify an open-source AI ethics project that aligns with your interests and skills.
Contribute to the project by writing code, submitting bug reports, or providing feedback.

Write a blog post or article on AI ethics

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Writing a blog post or article on AI ethics will help you solidify your understanding of the topic and share your knowledge with others.

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Choose a specific aspect of AI ethics that you want to write about.
Research the topic thoroughly.
Write your blog post or article.

Develop an AI ethics framework

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Creating an AI ethics framework will help you apply the principles and best practices discussed in the course to your own organization or projects.

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Identify the key ethical considerations for your organization or project.
Develop guidelines and procedures for addressing these considerations.
Implement your framework and monitor its effectiveness.

Career center

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

AI Researcher

AI researchers develop new artificial intelligence algorithms and techniques. They use their skills to push the boundaries of what is possible with AI. This course may be helpful for AI researchers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for AI Researcher

AI Engineer

AI engineers design, develop, and deploy artificial intelligence systems. They use their skills to create systems that can learn from data, make decisions, and solve problems. This course may be useful for AI engineers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for AI Engineer

Ethical Hacker

Ethical hackers use their skills to identify and exploit vulnerabilities in computer systems. They use their skills to help organizations to improve their security posture. This course may be helpful for ethical hackers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Ethical Hacker

Privacy Analyst

Privacy analysts help organizations to protect personal data. They use their skills to ensure that data is collected, used, and stored in a compliant and ethical manner. This course may be helpful for privacy analysts who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Privacy Analyst

Compliance Officer

Compliance officers help organizations to comply with laws and regulations. They use their skills to ensure that organizations operate in an ethical and responsible manner. This course may be helpful for compliance officers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Compliance Officer

Sustainability Manager

Sustainability managers help organizations to reduce their environmental impact. They use their skills to develop and implement sustainability programs. This course may be helpful for sustainability managers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Sustainability Manager

Corporate Social Responsibility Manager

Corporate social responsibility managers help organizations to operate in a socially responsible manner. They use their skills to develop and implement CSR programs. This course may be helpful for CSR managers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Corporate Social Responsibility Manager

Machine Learning Engineer

Machine learning engineers design, develop, and deploy machine learning models. They use their skills to automate tasks, improve decision-making, and create new products and services. This course may be helpful for machine learning engineers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data scientists apply mathematical and statistical methods to extract knowledge and insights from data. They use their skills to solve a variety of business problems, such as improving customer segmentation, optimizing marketing campaigns, and predicting future trends. This course may be helpful for data scientists who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Data Scientist

Business Analyst

Business analysts help organizations to improve their performance. They use their skills to identify and solve business problems. This course may be helpful for business analysts who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Business Analyst

Data Analyst

Data analysts clean, analyze, and interpret data. They use their skills to identify trends, patterns, and insights. This course may be helpful for data analysts who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Data Analyst

Project Manager

Project managers plan, execute, and close projects. They use their skills to ensure that projects are completed on time, within budget, and to the required quality. This course may be helpful for project managers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Project Manager

Product Manager

Product managers develop and manage products. They use their skills to identify customer needs, design products, and launch products to market. This course may be helpful for product managers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Product Manager

Computer Scientist

Computer scientists research and develop new computer technologies. They use their skills to create new algorithms, software, and hardware. This course may be helpful for computer scientists who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Computer Scientist

Software Engineer

Software engineers design, develop, and maintain software systems. They use their skills to create software that meets the needs of users. This course may be helpful for software engineers who are interested in learning more about the ethical implications of their work.

See salaries and explore the career path for Software Engineer

Responsible AI

Applying AI Principles with GC - Português

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