The AIGP training from IAPP provides fundamental knowledge and strategies to actively respond to the complex risks associated with the rapidly evolving AI landscape. This training enables you to effectively implement AI governance and AI risk management within an organization. Furthermore, AIGP addresses the rapidly growing need for professionals who can develop, integrate, and deploy reliable AI systems in accordance with (emerging) laws and policies.
The rapid developments in artificial intelligence have led to a flood of reporting on the promises and dangers of an AI-driven society. Professionals and organizations are massively experimenting with tools like ChatGPT, Copilot, and Claude, contemplating the countless possibilities that AI offers in areas such as efficiency and competitive advantages while avoiding its pitfalls.
The promise of artificial intelligence is tempered by ongoing concerns about bias, data usage, privacy, and copyright. Without the proper testing, evaluation, validation, and verification at every stage of AI development, fundamental AI models can reinforce biases and other societal challenges that persist in later systems and thus remain for decades. Despite these concerns, the pressure to implement AI applications often outweighs organizations' ability to carefully weigh and mitigate risks.

Other challenges arise in the area of compliance (such as, but not limited to, the upcoming EU AI Act), integrity, privacy, security, inclusivity, job displacement, and other ethical and social domains. All these factors require the implementation of an AI governance system or framework in organizations that are actively working with AI solutions, tailored to how and by whom AI is being utilized.
Only with a refined AI governance system can reliable, ethical AI implementations and solutions emerge, designed and managed by employees who take the aforementioned issues into account by design. Professionals in compliance, privacy, risk management, legal affairs, and governance will need to collaborate with data scientists, AI project managers, model ops teams, and others to acquire relevant AI knowledge and tackle the issue collectively.
To meet this demand, IAPP (the organization behind the well-known CIPP/E, CIPM, and CIPT privacy certifications) has developed the Artificial Intelligence Governance Professional (AIGP) certification and training. This was done in collaboration with key international names involved in AI in relation to privacy, legislation, ethics, education, sociology, psychology, and computer science. Unlike other AI certifications, AIGP focuses not on the technician but on the professional who wants to manage the application of AI from a business perspective.
After completing this AIGP training and obtaining the associated internationally recognized certification, you will be able to implement AI governance frameworks and the corresponding risk management within organizations and effectively communicate with teams about best practices and rules for responsible management of the AI ecosystem.
Definieert AI en machine learning, geeft een overzicht van de verschillende typen AI-systemen en hun use cases, en plaatst AI-modellen in een bredere sociaal-culturele context.
Beschrijft de belangrijkste risico’s en mogelijke schade die AI-systemen kunnen veroorzaken, de kenmerken van betrouwbare (trustworthy) AI-systemen en de kernprincipes voor verantwoorde en ethische AI.
Gaat in op het opzetten van AI-governance, waaronder samenwerking met belangrijke AI-stakeholders, het definiëren van rollen en verantwoordelijkheden, en het identificeren en beheersen van risico’s.
Behandelt relevante internationale wetgeving en bespreekt belangrijke aspecten zoals terminologie, risiconiveaus, vereisten, governance en handhaving zoals vastgelegd in AI-specifieke regelgeving.
Geeft een overzicht van bestaande wetgeving die AI raakt, creëert bewustwording rondom aansprakelijkheidsvraagstukken en beschrijft hoe verschillende juridische kaders (waaronder privacywetgeving en intellectueel eigendomsrecht) samenkomen bij AI-toepassingen.
Licht aandachtspunten toe bij het plannen, ontwerpen en bouwen van AI-systemen, inclusief governance rondom dataverzameling en datagebruik binnen AI design en development.
Behandelt best practices voor de voorbereiding en uitvoering van AI-deployment, evenals activiteiten na implementatie.
The AIGP training from IAPP provides fundamental knowledge and strategies to actively respond to the complex risks associated with the rapidly evolving AI landscape. This training enables you to effectively implement AI governance and AI risk management within an organization. Furthermore, AIGP addresses the rapidly growing need for professionals who can develop, integrate, and deploy reliable AI systems in accordance with (emerging) laws and policies.
The rapid developments in artificial intelligence have led to a flood of reporting on the promises and dangers of an AI-driven society. Professionals and organizations are massively experimenting with tools like ChatGPT, Copilot, and Claude, contemplating the countless possibilities that AI offers in areas such as efficiency and competitive advantages while avoiding its pitfalls.
The promise of artificial intelligence is tempered by ongoing concerns about bias, data usage, privacy, and copyright. Without the proper testing, evaluation, validation, and verification at every stage of AI development, fundamental AI models can reinforce biases and other societal challenges that persist in later systems and thus remain for decades. Despite these concerns, the pressure to implement AI applications often outweighs organizations' ability to carefully weigh and mitigate risks.

Other challenges arise in the area of compliance (such as, but not limited to, the upcoming EU AI Act), integrity, privacy, security, inclusivity, job displacement, and other ethical and social domains. All these factors require the implementation of an AI governance system or framework in organizations that are actively working with AI solutions, tailored to how and by whom AI is being utilized.
Only with a refined AI governance system can reliable, ethical AI implementations and solutions emerge, designed and managed by employees who take the aforementioned issues into account by design. Professionals in compliance, privacy, risk management, legal affairs, and governance will need to collaborate with data scientists, AI project managers, model ops teams, and others to acquire relevant AI knowledge and tackle the issue collectively.
To meet this demand, IAPP (the organization behind the well-known CIPP/E, CIPM, and CIPT privacy certifications) has developed the Artificial Intelligence Governance Professional (AIGP) certification and training. This was done in collaboration with key international names involved in AI in relation to privacy, legislation, ethics, education, sociology, psychology, and computer science. Unlike other AI certifications, AIGP focuses not on the technician but on the professional who wants to manage the application of AI from a business perspective.
After completing this AIGP training and obtaining the associated internationally recognized certification, you will be able to implement AI governance frameworks and the corresponding risk management within organizations and effectively communicate with teams about best practices and rules for responsible management of the AI ecosystem.
Definieert AI en machine learning, geeft een overzicht van de verschillende typen AI-systemen en hun use cases, en plaatst AI-modellen in een bredere sociaal-culturele context.
Beschrijft de belangrijkste risico’s en mogelijke schade die AI-systemen kunnen veroorzaken, de kenmerken van betrouwbare (trustworthy) AI-systemen en de kernprincipes voor verantwoorde en ethische AI.
Gaat in op het opzetten van AI-governance, waaronder samenwerking met belangrijke AI-stakeholders, het definiëren van rollen en verantwoordelijkheden, en het identificeren en beheersen van risico’s.
Behandelt relevante internationale wetgeving en bespreekt belangrijke aspecten zoals terminologie, risiconiveaus, vereisten, governance en handhaving zoals vastgelegd in AI-specifieke regelgeving.
Geeft een overzicht van bestaande wetgeving die AI raakt, creëert bewustwording rondom aansprakelijkheidsvraagstukken en beschrijft hoe verschillende juridische kaders (waaronder privacywetgeving en intellectueel eigendomsrecht) samenkomen bij AI-toepassingen.
Licht aandachtspunten toe bij het plannen, ontwerpen en bouwen van AI-systemen, inclusief governance rondom dataverzameling en datagebruik binnen AI design en development.
Behandelt best practices voor de voorbereiding en uitvoering van AI-deployment, evenals activiteiten na implementatie.
This training is scheduled as follows in the coming period. Missing a date? Feel free to contact us.
Location: TSTC Veenendaal - Klassikaal & Live Online
Location: TSTC Veenendaal - Klassikaal & Live Online
Location: TSTC Veenendaal - Klassikaal & Live Online
Location: TSTC Veenendaal - Klassikaal & Live Online
Location: TSTC Veenendaal - Klassikaal & Live Online
Location: TSTC Veenendaal - Klassikaal & Live Online
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