Lecture: Data and its challenges - Data Regulations, Data Sourcing and HCAI prospective

Administrative information

Title

Data and its challenges - Data Regulations, Data Sourcing and HCAI prospective

Duration

60 min

Module

Lesson Type

Lecture

Focus

Ethical - Compliance, Legality and Humanity

Topic

EU and International Legislation/Frameworks on data, AI, human rights and equality

Instructions for Teachers

Introduction and Context: Start by explaining the relevance of data regulations, data sourcing, and AI in today's world, highlighting their interconnectedness and real-world significance.

Data Regulations: Cover key regulations like GDPR, CCPA, and HIPAA, emphasizing their principles and the need for compliance in various sectors.

Data Sourcing: Explore the sources and challenges of data collection, focusing on its role in decision-making and analytics.

Human-Centered AI Prospects: Discuss the concept of AI that supports human collaboration, ethical considerations, and societal impact to promote responsible AI development.

Review the outline below.

Outline

Duration	Description
10 min	Introduction to data challenges
10 min	Data regulations: overview of data protection and privacy regulations (e.g., GDPR, HIPAA)
10 min	Data Sourcing: methods of data collection, data quality and data clearing
10 min	Data Ethics and governance: Ethical considerations of handing and using data, the role of data governance
15 min	Challenge and limitations of the current regulations
5 min	Q & A

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

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Auteur: HCAIM Consortium
Laatst gewijzigd: 2023-12-02 09:45:24
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