Responsible AI: Applying AI Principles with GC

What's inside

Syllabus

Introduzione

In questo modulo apprenderai quali sono l'impatto della tecnologia IA e l'approccio di Google all'IA responsabile, oltre a fare la conoscenza dei principi dell'IA di Google.

Il business case per l'IA responsabile

In questo modulo imparerai come realizzare un business case per un'IA responsabile, sulla base del report "The Business Case for Ethics by Design" dell'Economist Intelligence Unit.

Considerazioni tecniche e preoccupazioni etiche sull'IA

In questo modulo scoprirai i dilemmi etici e come una tecnologia emergente come l'IA generativa può far emergere preoccupazioni etiche che devono essere affrontate.

Creazione dei principi dell'IA

In questo modulo apprenderai come sono stati sviluppati i principi dell'IA di Google ed esplorerai gli obiettivi etici di ciascuno di questi principi.

Operativizzazione dei principi dell'IA: configurazione ed esecuzione di revisioni

In questo modulo imparerai l'applicazione pratica dell'IA responsabile e come operativizzare i principi dell'IA configurando ed eseguendo revisioni.

Operativizzazione dei principi dell'IA: individuazione dei problemi e lezioni apprese

In questo modulo imparerai il processo di identificazione di possibili problemi etici e identificherai le domande per individuare i problemi e pensare in modo critico ai potenziali vantaggi e svantaggi di un caso d'uso.

Proseguimento del viaggio verso un'IA responsabile

In questo modulo apprenderai quali sono i passaggi successivi e le risorse che puoi utilizzare per continuare il tuo percorso verso un'IA responsabile.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Esplora l'IA e il machine learning, che è uno standard nel settore tecnologico

Insegna l'IA responsabile, che aiuta gli studenti a realizzare progetti AI responsabili

Sviluppa i principi dell'IA, che sono competenze fondamentali per l'IA responsabile

Insegnato da Google Cloud Training, che è riconosciuto per il suo lavoro nell'IA responsabile

Esamina l'IA responsabile, che è altamente rilevante per l'applicazione dell'IA nel mondo reale

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 - Italiano with these activities:

Organizza e rivedi le risorse del corso

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Migliora la tua comprensione e il tuo coinvolgimento nel corso organizzando e rivedendo regolarmente le risorse fornite, garantendo una solida base per l'apprendimento.

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Raccogli e organizza le note, le presentazioni e i materiali di lettura.
Rivedi regolarmente i materiali per rafforzare la tua comprensione.

General overview of AI ethics

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Refresh your understanding of basic ethical principles in the field of AI

Browse courses on AI Ethics

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Review articles and blog posts on the topic of AI ethics
Summarize the key points of your research in your own words

Partecipa alle discussioni nel forum sulla classe

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Coinvolgi i tuoi compagni nella discussione sui principi e sulle sfide dell'IA responsabile, ampliando la tua prospettiva e rafforzando la tua comprensione.

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Partecipa regolarmente alle discussioni nel forum.
Condividi le tue esperienze e opinioni.

Two other activities

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Inizia un progetto di implementazione dell'IA responsabile

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Applica i principi dell'IA responsabile a un progetto pratico nella tua organizzazione, consentendoti di comprendere e sperimentare i vantaggi e le sfide dell'IA responsabile nel mondo reale.

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Identifica un caso d'uso aziendale per l'IA responsabile.
Pianifica e progetta l'implementazione dell'IA, integrando i principi dell'IA di Google.
Implementa il progetto e monitorane i risultati.
Rifletti e valuta i risultati, apportando modifiche per migliorare l'efficacia del progetto.

Contribuisci a progetti open source che promuovono l'IA responsabile

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Contribuisci alla comunità più ampia dell'IA responsabile condividendo le tue conoscenze ed esperienze, collaborando con altri e imparando dalle migliori pratiche.

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Identifica progetti open source che si allineano con gli obiettivi dell'IA responsabile.
Partecipa a forum e discussioni online per contribuire alla base di conoscenze della community.
Contribuisci con codice, documentazione o altro supporto per far avanzare i progetti.

Career center

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

AI Engineer

AI Engineers design, develop, and deploy AI systems. This course may be useful for those who want to become AI Engineers by teaching them how to apply AI principles to real-world problems. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for AI Engineers.

See salaries and explore the career path for AI Engineer

Policymaker

Policymakers develop and implement policies that govern the use of AI. This course may be useful for those who want to become Policymakers by giving them the skills to develop and implement policies that are responsible and aligned with ethical standards. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Policymakers.

See salaries and explore the career path for Policymaker

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models that can learn from data and make predictions. This course may be useful for those who want to become Machine Learning Engineers by giving them the skills to build AI systems in a responsible way. The course covers topics such as bias mitigation, fairness, and transparency, which are important considerations for Machine Learning Engineers.

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Researcher

Researchers conduct research to advance knowledge in a variety of fields. This course may be useful for those who want to become Researchers by giving them the skills to conduct research on AI in a responsible and ethical way. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Researchers.

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Ethnographer

Ethnographers study people's behavior and culture. This course may be useful for those who want to become Ethnographers by giving them the skills to study the impact of AI on people and culture. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Ethnographers.

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Anthropologist

Anthropologists study the behavior and culture of humans. This course may be useful for those who want to become Anthropologists by giving them the skills to study the impact of AI on humans and culture. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Anthropologists.

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Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. This course may be useful for those who want to become Data Analysts by giving them the skills to analyze data in a responsible and ethical way. The course covers topics such as data privacy, security, and ethics, which are important considerations for Data Analysts.

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Journalist

Journalists report on the news and current events. This course may be useful for those who want to become Journalists by giving them the skills to report on AI in a responsible and ethical way. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Journalists.

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Entrepreneur

Entrepreneurs start and run their own businesses. This course may be useful for those who want to become Entrepreneurs by giving them the skills to develop and launch AI products that are responsible and aligned with ethical standards. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Entrepreneurs.

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Business Analyst

Business Analysts help businesses understand their needs and develop strategies to meet those needs. This course may be useful for those who want to become Business Analysts by giving them the skills to analyze business problems and develop solutions that are responsible and aligned with ethical standards. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Business Analysts.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for those who want to become Software Engineers by giving them the skills to build software systems that are responsible and aligned with ethical standards. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Software Engineers.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for the development and launch of new products and features. This course may be useful for those who want to become Product Managers by giving them the skills to develop AI products that are responsible and aligned with ethical standards. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Product Managers.

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Consultant

Consultants provide advice and guidance to businesses on a variety of topics. This course may be useful for those who want to become Consultants by giving them the skills to advise businesses on how to use AI in a responsible and ethical way. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Consultants.

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Data Scientist

Data Scientists analyze large sets of data to extract useful information that can help businesses make better decisions. This course may be useful for those who want to become Data Scientists by helping them understand the ethical implications of AI and machine learning. By learning how to operativize AI principles, Data Scientists can ensure that their work is responsible and aligned with ethical standards.

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Lawyer

Lawyers advise clients on legal matters and represent them in court. This course may be useful for those who want to become Lawyers by giving them the skills to advise clients on the legal implications of AI. The course covers topics such as AI ethics, bias mitigation, and fairness, which are important considerations for Lawyers.

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