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Data & AI: innovation, risks, privacy

Explore how to ensure compliant and trustworthy AI by addressing privacy, ethical, and regulatory challenges. Learn to manage risks, enable responsible data sharing, and leverage unstructured and crowdsourced data for innovative business opportunities.

training informations

Short program (FC)

duration

4 days spread over 1 month

price

CHF 5’000

language

English

location

Onsite

internationally recognized

hands-on & practical course

Presentation of the program

The recent technological advances offer manifold opportunities for data- and AI-driven innovations. To fully benefit from these innovations, companies need to consider data privacy, ethical principles and comply with an increasing number of data- and AI related regulations (for instance, the EU GDPR and the Swiss data protection regulation, the EU Data Act and the EU AI Act).

This Module 4 addresses the privacy, ethical and other risks associated with data and presents approaches to achieve compliant and trustworthy AI. Because data- and AI-driven innovation often extends across business ecosystems, the module also discusses the challenges and opportunities of data sharing and the use of external data. Participants will also explore privacy-related challenges in AI and how to make use of the increasing amount of unstructured and crowdsourced data for innovative business use cases.

Learning objectives

Identify and manage the managerial, organizational and ethical risks that come with data- and AI-driven innovation.
Analyze the regulatory landscape around data and AI and evaluate approaches for achieving compliant and trustworthy AI.
Explore the potential of unstructured and crowdsourced data and understand data privacy challenges.

Target audience

Identify and manage the risks (managerial, organizational and ethical) that come with data-driven decision making.
Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
Data champions and executives in business lines (HR, Marketing, Operations, …) who want to become more data and analytics-savvy.

About the program

This short program Data & AI: innovation, risks, privacy was built for professionals seeking to learn about fundamental concepts and then practice them trough practical exercises. There is a strong emphasis on practical application supported by academic excellence, with the use of exercises and break-out groups, industry examples and guest speakers. The fundamental notions will be presented beforehand, then supplemented and illustrated by numerous practical exercises based on real cases .

This approach will allow the participants to deploy the concepts presented during the course as well as forging a strong analytical mindset to tackle future challenges they might face on .

our speakers

Christine Legner professor

English

Sandro Saitta professor

English

Olivier Verscheure professor

English

main program

Data

Digital

4.5

Data science & management

16 days spread over 9 months

CAS

English

onsite

Program's sessions

You can see all our open program sessions in Data & AI: innovation, risks, privacy below. Click on the session you are interested in or check the full calendar.

March 2026

open

full dates: 14, 15, 16 and 17 September 2026
language: English
registration: Before 13 August 2026

enroll now

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Related programs

The Executive Education HEC Lausanne offers more than 59 Open programs in various fields: Data. As a result, and beyond this short program in Data & AI: innovation, risks, privacy, we offer several other related programs that may be of interest to you.