AI Ethics Governance and Responsible Innovation Course

Build responsible AI governance covering ethics, fairness, transparency, accountability, lifecycle controls and trustworthy innovation.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This AI Ethics Governance and Responsible Innovation Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Outlines

Introduction

Artificial intelligence can improve services and decisions while also creating risks involving unfair treatment, privacy, opacity, safety and unaccountable automation. Responsible innovation requires more than publishing ethical principles: organisations need practical governance that identifies material harm, assigns ownership, challenges evidence and controls AI systems throughout their lifecycle.

This five-day course provides a rigorous framework for AI ethics, governance and responsible innovation. Participants will assess use-case risk, examine fairness and transparency, design accountability structures and integrate responsible-AI controls into development, procurement and operations. The course is suitable for leaders, risk professionals, policy specialists and technical teams responsible for trustworthy AI adoption.

Objectives

By the end of this course, participants will be able to:

Identify ethical and societal risks in AI systems.
Assess impacts on stakeholders and affected groups.
Evaluate bias, fairness and privacy concerns.
Define transparency and human-oversight requirements.
Assign accountable roles across the AI lifecycle.
Design risk-based governance and approval controls.
Monitor incidents, drift and unintended outcomes.
Develop a responsible-AI governance framework.

Course Content

Day 1: Ethical Risk and AI Impact

Responsible-AI principles and practical meaning
AI as a sociotechnical system
Individual, organisational and societal harm
Stakeholders and affected communities
Use-case risk classification
AI impact-assessment workshop

Day 2: Data, Bias and Fairness

Representation and historical bias
Labels, proxies and measurement error
Fairness definitions and performance metrics
Group and intersectional analysis
Privacy and data minimisation
Bias-mitigation case laboratory

Day 3: Transparency and Accountability

Transparency for different stakeholders
Explainability and evidence limitations
Human oversight and decision contestability
Model and data documentation
Supplier and third-party accountability
Independent challenge and assurance

Day 4: AI Governance and Lifecycle Controls

Policies, roles and decision rights
AI inventories and risk tiers
Development and approval gates
Validation and performance monitoring
Incident reporting and corrective action
Governance operating-model workshop

Day 5: Responsible Innovation in Practice

Ethics integrated with product design
Responsible procurement and model selection
Foundation-model and generative-AI risk
Regulatory readiness and audit evidence
Culture, capability and leadership
Capstone responsible-AI framework

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of AI Ethics Governance and Responsible Innovation Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.