AI Foundations: Ethics and Implementation
This course is part of AI in Practice.
This comprehensive course explores the practical implications of implementing AI in organizations, with a focus on ethical considerations and compliance requirements. Through real-world case studies from organizations like the Dutch National Police, ING, and Ahold Delhaize, students learn how AI can enhance operational efficiency while addressing crucial aspects of transparency and privacy. The course examines AI applications across public and private sectors, demonstrating value regardless of organizational size or complexity. Participants will understand AI's potential impact on workflow optimization, data processing, and organizational improvement, while gaining insights into ethical implementation strategies. Special emphasis is placed on preparing organizations for AI integration through practical examples and industry expertise.
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What you'll learn
Describe the benefits and potential impact of AI implementation in organizational contexts
Identify implications and improvement strategies for AI integration across different sectors
Understand compliance requirements and ethical considerations in AI deployment
Analyze AI applications in industry, academia, and education with focus on practical outcomes
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
The course covers five key areas: Multimodal Machine Learning and Image Analysis in law enforcement and publishing, Deep Learning applications in industry, AI Compliance and Ethics considerations, FinTech applications, and Robotics in retail. Each module features expert perspectives from industry professionals and academics, providing a comprehensive understanding of AI implementation challenges and solutions. The curriculum balances theoretical knowledge with practical case studies, emphasizing real-world applications and ethical considerations.
Multimodal Machine Learning and Image Analysis
Module 1
Exploiting Structure in Deep Learning
Module 2
Thematic Track on Compliance & Ethics of AI
Module 3
AI Applications in FinTech
Module 4
Robotics
Module 5
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: AI in Practice
Instructors
8 Courses
Software Engineering Pioneer and AI Innovation Leader
Arie van Deursen serves as Professor of Software Engineering at TU Delft, where he heads both the Software Engineering Research Group and the Department of Software Technology while directing the AI for Fintech Research lab, a five-year collaboration between ING and TU Delft. After earning his MSc in Computer Science from Vrije Universiteit Amsterdam and PhD from the University of Amsterdam, he conducted research at CWI before joining TU Delft as a professor in software engineering. His research spans software engineering, software testing, trustworthy AI, and human aspects of software engineering, with particular focus on empirical research conducted in close collaboration with industry. As scientific director of AI-for-Fintech Research, he leads initiatives involving 10 PhD students and numerous faculty members, while serving on the advisory board of ICAI and co-leading its Long Term Program on Trustworthy AI. His entrepreneurial spirit is evidenced by co-founding two successful companies: The Software Improvement Group (2000) and PerfectXL (2010). Recently elected as a Fellow of the Netherlands Academy of Engineering in 2023, he has supervised over 35 PhD students and 75 MSc students while serving as program co-chair for prestigious conferences like ICSE 2021 and ESEC/FSE 2017. Through his roles as member of the Advisory Council of IT Assessment for the Dutch government and the advisory council of ING Bank Netherlands, he continues to bridge academic innovation with practical applications in software engineering and artificial intelligence.
3 Courses
A Pioneer in AI Innovation and Law Enforcement Technology
Marcel Worring serves as Professor of Data Science for Business Analytics at the Amsterdam Business School and Director of the University of Amsterdam's Informatics Institute, a 200-strong center focused on AI systems and networks. His most significant contribution has been co-founding the Innovation Center for AI (ICAI) in April 2018, a national initiative that facilitates collaboration between academia, industry, and government. As Scientific Director of the National Police Lab AI, a collaboration between Dutch Police, Utrecht University, and the University of Amsterdam, he leads the development of state-of-the-art AI techniques to improve public safety. His 15-year partnership with law enforcement has resulted in significant advances in multimedia analytics for criminal investigations, including tools for analyzing large multimedia collections, creating automatic data summaries, and identifying suspicious patterns. At the University of Amsterdam, he leads the MultiX research group, focusing on multimedia analytics and AI techniques for extracting rich information from complex data sets. His work spans multiple domains, including the development of AI-driven tools for child abuse investigations, suspect identification, and evidence verification, all while maintaining a strong emphasis on socially, legally, and ethically responsible implementation of AI technologies.
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