Artificial Intelligence and Cyber Risks in Business Innovation

About

Innovation and digital technologies such as Artificial Intelligence (AI) are not just the driving the businesses to change their models, they are also creating ethical and operational threats of 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 to regulations generally feature in the top risks of Government, public, private and academic organizations. Large organizations 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 all-rounded professionals who understand how to quantify, apply AI driven solutions and scrutinise these innovations and manage resulting business risks strategically. This module aims to address this skill gap in the market, improve prospects for jobs that require such cross-disciplinary awareness and provides the basic knowledge for students to gain further professional qualifications.

Course leader

Meha Shukla

Target group

This is a level one module (equivalent to first year undergraduate). No prior subject knowledge is required to study this module but students are expected to have a keen interest in the subject area.

Course aim

Upon successful completion of this module, students will:

outline basic principles and complexities of risk management; and how they apply to adapting technologies such as AI and innovations in businesses
identify vulnerabilities, threats and security risks from digital applications and AI solutions across industry sectors
recognise ethical responsibilities of businesses and develop job-relevant skills with AI case studies and hands-on tasks
develop job-relevant skills such as appraising strategic business innovation proposals while managing operational cybersecurity and AI risks using evidence-based sound arguments

Fee info