TΓΌbingen, Germany
Society, Misinformation, and Artificial Intelligence in Europe
When:
01 June - 29 June 2026
Credits:
8 EC
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Artificial Intelligence Summer Course
When:
29 June - 17 July 2026
School:
Institution:
UCL
City:
Country:
Language:
English
Credits:
7.5 EC
Fee:
2995 GBP
Innovation and digital technologies such as Artificial Intelligence (AI) are not just driving businesses to change their models, they are also creating ethical and operational threats of an unprecedented nature. Maximising innovation benefits, identifying cybercrime threats, managing AI challenges, creating a risk structure for governance, protecting sensitive data, defending critical smart infrastructure and complying with regulations generally feature in the top risks of government, public, private and academic organisations.
Large organisations have specialised departments with annual budgets to analyse how industry-wide innovations can be adapted to gain competitive advantage.
There is a gap in the industry for well-rounded professionals who understand how to quantify, apply AI driven solutions and scrutinise these innovations and manage resulting business risks strategically.
This module exists to address this skill gap in the market, improve prospects for jobs that require such cross-disciplinary awareness, and provide the basic knowledge for you to gain further professional qualifications.
Week one
Fundamentals of risk management
Introduction to business innovations driven/enhanced by technologies such as AI and strategic integration with innovative ways of working
Business and ethical risks from evolving AI applications
Cybersecurity challenges, impacts to businesses (from sensitive data breach, multiple cascading impacts of cyber-attacks and disruption to critical smart infrastructure)
How AI can influence the business outcomes of cybercrimes and cybersecurity
Developing a Business Risk log for an innovative AI solution β case study
Week two
Top AI and cyber threats, vulnerabilities and risks for various business sectors
Managing risks through a structure across programmes, portfolios and projects
The use of AI in Risk management, governance and compliance
Developing a risk management proposal for an innovative AI solution β case study
Week three
Resilience and response planning
Disaster recovery and crisis management
Assessing effectiveness of risk management and how to prepare for futuristic AI risks
Dr Meha Shukla
This module aims to:
- Identify new types of cybercrimes and risks that businesses have never experienced or known before, arising from the 21st-century digital and AI revolutions and fast-paced continuous technological innovations.
- Provide you with an understanding of strategic risks from adapting innovations, operational security risks from growing cyber capabilities and ethical risks from revolutionary AI transformations.
- Give practical examples and case studies across industry sectors to learn how organisations are rising to these challenges.
- Highlight the need to articulate problems and solutions in a way that IT and non-IT professionals in the industry can communicate effectively to achieve a common goal.
Fee
2995 GBP
When:
29 June - 17 July 2026
School:
Institution:
UCL
Language:
English
Credits:
7.5 EC
TΓΌbingen, Germany
When:
01 June - 29 June 2026
Credits:
8 EC
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Nijmegen, Netherlands
When:
22 June - 26 June 2026
Credits:
2 EC
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St. Gallen, Switzerland
When:
08 June - 12 June 2026
Credits:
4 EC
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