Administrative information

Title	Understanding Psychological Challenges in AI Work
Duration	60 min
Module	C
Lesson Type	Interactive Session
Focus	Practical - Socially Responsible AI
Topic	Corporate Social Responsibility (ISO 26000) - when using HCAI systems

Keywords

Psychology, Human-AI Interaction, Psychological Challenges, Insecurity, Emotional Attachment to AI, Burnout Prevention, Fear, Social Isolation, Cognitive Overload, Cognitive Fatigue,

Learning Goals

Recognize and articulate the psychological problems that may arise when working with AI technologies, understanding the unique stressors and pressures associated with the field.
Analyze the fear of skill obsolescence in the fast-paced AI domain and gain insight into the emotional impact of job insecurity.
Discuss the importance of addressing algorithmic bias and promoting fairness in AI systems, discussing the potential psychological implications of biased technologies.
Examine the psychological phenomenon of emotional attachment to AI systems, evaluating its implications for human-AI interaction.
Identify burnout risk factors in AI work and explore strategies to prevent and address burnout to maintain mental well-being.
Recognize the psychological challenge of imposter syndrome in the AI field and discuss ways to build self-confidence and combat feelings of inadequacy. Examine the risk for social isolation.
Understand the phenomenon of decision fatigue in AI development and explore strategies for effective decision-making and managing cognitive load.

Expected Preparation

Learning Events to be Completed Before

Obligatory for Students

Lecture: Overview of Ethical, Professional and legal Aspects of HCAI applications
Lecture: EU Human Rights Legislation
Lecture: Positive and Negative Externalities
Interactive session: How AI affects human behaviour (eg mobility) - Positive and Negative

Optional for Students

Why We Have an Emotional Connection to Robots - a TED Talk by Kate Darling

References and background for students

Decision Fatigue: https://www.psychologytoday.com/intl/blog/a-funny-bone-to-pick/202301/decision-fatigue-and-what-to-do-about-it
Burnout: https://www.psychologytoday.com/us/basics/burnout

Recommended for Teachers

Deshpande, Ameet & Rajpurohit, Tanmay & Narasimhan, Karthik & Kalyan, Ashwin. (2023). Anthropomorphization of AI: Opportunities and Risks
Hoffman, Robert & Miller, Timothy & Klein, Gary & Mueller, Shane & Clancey, William. (2023). Increasing the Value of XAI for Users: A Psychological Perspective. KI - Künstliche Intelligenz

Lesson materials

The materials of this learning event are available under CC BY-NC-SA 4.0.

Instructions for Teachers

The materials provided, as well as the overall outline and schedule of the interactive session, are indicative and presented in order to better guide a discussion with the students. As long as the learning goals are met, the guest lecturers and the facilitators/moderators of the interactive session are encouraged to follow the natural flow of the discussion.

Outline

Duration	Topic	Description
5 mins	Introduction	Introduction of the lecturer and the topic of psychological challenges when working with AI. Provide an overview of the lesson plan and learning goals.
20 mins	Examples of Relevant Psychological Challenges	Explore common psychological challenges of exceptional relevance to AI professionals. Those may include job insecurity, attachment, and the psychological implications of experiencing ethical dilemmas on a daily basis. Engage students in a discussion on those, probing their knowledge on what those challenges entail and filling in the gaps. It is important to include burnout, social isolation, impostor syndrome and decision fatigue. Two controversial psychological challenges could also be included, namely the psychological stress resulting from the emotional fatigue related to safeguarding sensitive information, as well as the overreliance on AI and when AI dependence bleeds into other areas of life.
20 mins	Recognizing the Symptoms and Prevention	Discuss what are the common symptoms of the psychological challenges discussed above. Do not encourage students to share personal experiences, unless they take the initiative to discuss them. If personal experiences are shared it is important to listen compassionately, not to interrupt and follow up with questions on what strategies is the student employing to stay on top of these challenges. It would be best to prepare additional slides with resources and local contacts that the students can use to seek additional support.
10 mins	Discussion	Final Discussion with Students. Questions and Answers.
5 mins	Closing Remarks	Summarize the key points discussed throughout this interactive session.

Guest lecturers create their own presentations and materials, using the templates provided by the HCAIM consortium. Specifically, for presentations, they use the following template.

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities

Colofon

Het arrangement Interactive session: Psychological Aspects when working with AI - stress, anxiety, depression is gemaakt met Wikiwijs van Kennisnet. Wikiwijs is hét onderwijsplatform waar je leermiddelen zoekt, maakt en deelt.

Auteur: HCAIM Consortium
Laatst gewijzigd: 2024-05-15 10:31:51
Licentie: Dit lesmateriaal is gepubliceerd onder de Creative Commons Naamsvermelding-GelijkDelen 4.0 Internationale licentie. Dit houdt in dat je onder de voorwaarde van naamsvermelding en publicatie onder dezelfde licentie vrij bent om:

het werk te delen - te kopiëren, te verspreiden en door te geven via elk medium of bestandsformaat

het werk te bewerken - te remixen, te veranderen en afgeleide werken te maken

voor alle doeleinden, inclusief commerciële doeleinden.

Meer informatie over de CC Naamsvermelding-GelijkDelen 4.0 Internationale licentie.

Aanvullende informatie over dit lesmateriaal

Van dit lesmateriaal is de volgende aanvullende informatie beschikbaar:

Toelichting: copy this template and fill in
Eindgebruiker: leerling/student
Moeilijkheidsgraad: gemiddeld
Studiebelasting: 4 uur en 0 minuten

Gebruikte Wikiwijs Arrangementen

HCAIM Consortium. (z.d.).

Acknowledgement

https://maken.wikiwijs.nl/198386/Acknowledgement

HCAIM Consortium. (z.d.).

Interactive session: Human Intervention on inconsistent and/or good AI decisions

https://maken.wikiwijs.nl/202183/Interactive_session__Human_Intervention_on_inconsistent_and_or_good_AI_decisions

Downloaden

Het volledige arrangement is in de onderstaande formaten te downloaden.

Metadata

Metadata overzicht (Excel)

LTI

Leeromgevingen die gebruik maken van LTI kunnen Wikiwijs arrangementen en toetsen afspelen en resultaten terugkoppelen. Hiervoor moet de leeromgeving wel bij Wikiwijs aangemeld zijn. Wil je gebruik maken van de LTI koppeling? Meld je aan via info@wikiwijs.nl met het verzoek om een LTI koppeling aan te gaan.

Maak je al gebruik van LTI? Gebruik dan de onderstaande Launch URL’s.

Arrangement

IMSCC package

Wil je de Launch URL’s niet los kopiëren, maar in één keer downloaden? Download dan de IMSCC package.

IMSCC package

Meer informatie voor ontwikkelaars

Wikiwijs lesmateriaal kan worden gebruikt in een externe leeromgeving. Er kunnen koppelingen worden gemaakt en het lesmateriaal kan op verschillende manieren worden geëxporteerd. Meer informatie hierover kun je vinden op onze Developers Wiki.