When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Ethical Governance & Risk in Agentic AI

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Ethical Governance & Risk in Agentic AI

Dieser Kurs ist Teil von Spezialisierung „Hands-on Agentic AI: Building Intelligent Agents“

Dozent: Hurix Digital

Bei enthalten

Mehr erfahren

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

4 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

4 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Kompetenzen, die Sie erwerben

Kategorie: Accountability Frameworks
Kategorie: Decision Intelligence
Kategorie: Case Studies
Kategorie: Risk Management
Kategorie: Compliance Management
Kategorie: Agentic systems
Kategorie: Artificial Intelligence
Kategorie: Responsible AI
Kategorie: Regulatory Requirements
Kategorie: Risk Management Framework
Kategorie: Governance Risk Management and Compliance
Kategorie: Governance
Kategorie: Regulatory Compliance
Kategorie: Accountability
Kategorie: Risk Analysis

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Dezember 2025

Bewertungen

5 Zuweisungen¹

KI-bewertet siehe Haftungsausschluss

Unterrichtet in Englisch

91%

of learners achieved a positive career outcome

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

Erweitern Sie Ihre Fachkenntnisse

Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Hands-on Agentic AI: Building Intelligent Agents“

Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.

Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 3 Module

Ethical Governance & Risk in Agentic AI is an intermediate-level course designed for professionals who need to navigate the complex landscape of autonomous AI systems while ensuring ethical compliance and responsible deployment. As AI systems become increasingly autonomous, traditional governance approaches break down, creating new categories of risk and accountability challenges. This course equips learners with practical frameworks to assess AI autonomy levels, design adaptive compliance strategies, and build scalable governance structures. Through real-world case studies from IBM, UC Berkeley, and Harvard Business Review, learners explore both the opportunities and risks of agentic AI systems. The course emphasizes practical implementation, providing tools and templates that can be immediately applied in organizational settings. By the end, learners will be able to build comprehensive governance frameworks that balance innovation with responsibility, ensuring AI systems serve human values while driving competitive advantage.

Moduldetails

In this foundational lesson, learners will explore the evolution of AI autonomy and examine how autonomous agents make decisions. They'll analyze the ethical implications of AI decision-making, understand the spectrum of agent autonomy, and evaluate real-world cases where AI autonomy has created both opportunities and challenges. Through IBM's perspective on agentic AI risks and UC Berkeley's analysis, learners will develop a framework for assessing agent autonomy levels.

Das ist alles enthalten

4 Videos2 Lektüren1 Aufgabe

4 VideosInsgesamt 20 Minuten

Introduction and Welcome4 Minuten
The Spectrum of AI Autonomy: From Tools to Agents5 Minuten
Ethical Implications of Autonomous Decision-Making5 Minuten
Case Study: When AI Autonomy Goes Wrong (and Right)6 Minuten

2 LektürenInsgesamt 12 Minuten

Welcome to the Course: Course Overview4 Minuten
Navigating the Current AI Governance Landscape8 Minuten

1 AufgabeInsgesamt 15 Minuten

HOL: Assess AI Autonomy Levels in Your Organization15 Minuten

This lesson guides learners through the process of creating comprehensive compliance strategies that ensure AI systems align with ethical standards and regulatory requirements. Learners will explore current regulatory frameworks, design compliance strategies that balance innovation with responsibility, and examine how leading organizations navigate complex regulatory landscapes. They'll develop skills to create frameworks that ensure responsible AI deployment while maintaining competitive advantage. All of this Through practical exercises and real-world case studies,

Das ist alles enthalten

3 Videos1 Lektüre1 Aufgabe

In this culminating lesson, learners will develop comprehensive skills for evaluating AI risks and implementing robust governance frameworks. They'll learn to assess both technical and ethical risks in AI systems, design governance structures that can evolve with changing technologies and regulations, and create accountability mechanisms that ensure responsible AI deployment. Through hands-on activities and real-world case studies, learners will build practical frameworks they can immediately apply in their organizations.