Lund University

AI in Practice: Challenges & Impact Assessment

Lund University

AI in Practice: Challenges & Impact Assessment

Alberto Rinaldi

Instructor: Alberto Rinaldi

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
9 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
9 hours to complete
Flexible schedule
Learn at your own pace

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Build your subject-matter expertise

This course is part of the Responsible AI and the Law Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 6 modules in this course

This module explores how AI is transforming healthcare - from diagnostics to predictive analytics - and what this means for consent, data protection, liability, and patient rights. Building on MOOC 1 (trust and responsibility) and MOOC 3 (ethics and fairness), learners connect abstract legal ideas to concrete medical contexts.

What's included

4 videos5 readings1 assignment

This module examines AI in military and security contexts, focusing on accountability, human oversight, and the ethics of autonomous systems. It builds on MOOC 1’s accountability discussions and MOOC 2’s governance focuses to explore international humanitarian law, proportionality, and emerging doctrines of cognitive warfare.

What's included

3 videos4 readings1 assignment

AI now supports policing, sentencing, and correctional decisions. Building on MOOC 3’s focus on fairness and access to justice, this module examines due process, discrimination, and explainability in criminal law.

What's included

2 videos3 readings1 assignment

This module demystifies intellectual property and AI creativity. It expands on MOOC 1’s “AI as a person” debate and MOOC 2’s regulatory frameworks to discuss authorship, inventorship, and data ownership in plain language.

What's included

3 videos4 readings1 assignment

This module links environmental governance and AI ethics. Learners explore how AI supports sustainability and how data-driven systems might exacerbate inequality or environmental harm. It builds on MOOC 3’s justice framework and MOOC 2’s governance lens.

What's included

3 videos4 readings1 assignment

Learners will bring together insights from all four MOOCs to design a full AI Impact Assessment. This capstone integrates technical understanding (MOOC 1), governance and accountability (MOOC 2), ethics and justice (MOOC 3), and applied sectoral insights (MOOC 4).

What's included

1 peer review1 discussion prompt

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Instructor

Alberto Rinaldi
Lund University
0 Courses0 learners

Offered by

Lund University

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