This module introduces you to the main concepts and ideas in the domain of AI and machine learning within a context of its use in the business world. Teaching on the module will be explorative using case studies and emerging research in order to teach and inform on the key concepts. AI and Robotics is not simply about software algorithms and computer hardware as to take a full and rounded perspective it is necessary to regard and be informed about the social impact this technology can have upon society. Within this module we shall also discuss and consider the morals and ethics we need to use in creating a new society in the modern technological age.

1. DEMONSTRATE A CLEAR KNOWLEDGE OF WHAT AI AND MACHINE LEARNING ARE AS COMPUTING CONCEPTS AND BE ABLE TO IDENTIFY SOLUTIONS THAT ADDRESS COMMON ASSOCIATED ISSUES AND PROBLEMS THAT EMERGE IN RELATED DOMAINS.
Knowledge and Understanding,
Problem Solving

2. IDENTITY AND DOCUMENT APPLICATIONS OF AI AND MACHINE LEARNING WITHIN BUSINESS CONTEXTS. Enquiry

3. BE ABLE TO PRESENT AND DISCUSS IN TECHNICAL DETAILS THE CURRENT AND FUTURE USES OF AI WITHIN SPECIFIC AREAS OF INDUSTRY AND SOCIETY.
Communication, Learning

4. UNDERSTAND THE MAIN APPROACHES TAKEN TO REFLECT ON ETHICS.
Knowledge and understanding, Enquiry

5. DEMONSTRATE THE ABILITY TO REFLECT ON ETHICAL ISSUES ARISING FROM THE EMERGENCE OF AI AND ROBOTICS
Analysis, reflection, problem-solving, communication.

1. Individual Portfolio and Group Presentation 50% 15 minutes, 1500 words
2. Individual Portfolio and Group Presentation 50% 15 minutes, 1500 words


Assignment 1 -
An individual portfolio of related tasks covering simple exercises that illustrate the analysis, research, ethics consideration, business address, and design of basic concepts in AI - Learning Outcomes 1, 2and 3.

Assignment 2 –
Group presentation, e.g. on a critical review of research papers related to topics covered in the module; a short reflection on ethical questions arising from contemporary robotics

This module introduces key concepts within the field of AI by exploring the main areas and applications in the business world. Topics will include:

What are AI and Machine Learning?
Definitions of AI and Machine Learning
History of AI and the Turing Test
Tools within AI:
Search
- Uninformed Search
- Heuristic Search
- Game Tree Search
Knowledge Representation
- First order logic for more general knowledge
- Inference in First-Order Logic
Classical Planning
- Predicate representation of states
- Planning Algorithms
Quantifying Uncertainty and Probabilistic Reasoning
- Uncertainties, Probabilities
- Probabilistic Reasoning, Bayesian Networks

Case studies will be used which may include topics of - automatous transportation, medical diagnose, stock markets, energy supply, search engines, commerce, robotic androids, and video games etc.
Future trends with the use of AI in Business - Fact, Fiction, or Bust
Guest Seminars from researchers will be used

Ethics topics will include –
What is technology?
What ethical questions are posed by technology?
What is work and why do we need to work?
What challenges are posed by the introduction of robots into the workplace?
Should robots have rights?
Can we have ethical obligations towards robots?
Can robots have ethical obligations towards humans?
The ethics of robot warfare.
Ethical issues of big data and algorithms

The module will be delivered via a series of lectures and seminars. It is expected in addition that students are involved in research outside of classes, and in presenting and discussing various applications of AI within a Business context via seminars based on topical issues to inform their peer group of their knowledge and provoke analysis and reflection from others.

Russell, S. & Norvig, P. (2016) Artificial Intelligence: A Modern Approach, Pearson; 3 edition, ISBN-13: 978-1292153964
Sterne, J. (2017), Artificial Intelligence for Marketing: Practical Applications (Wiley and SAS Business Series), John Wiley & Sons; First edition, ISBN-13: 978-1119406334
Wodecki, A. (2018), Artificial Intelligence in Value Creation: Improving Competitive Advantage, Palgrave Macmillan, First edition, ISBN-13: 978-3319915951
Fieschi. M. (1990), Artificial Intelligence in Medicine: Expert Systems, Springer; Softcover reprint of the original First edition, ISBN-13: 978-0412330001
Tegmark, M. (2018), Life 3.0: Being Human in the Age of Artificial Intelligence, Vintage, ISBN-13: 978-1101970317
Davis, H. (2018) Google Advertising Tools: Cashing in with AdSense and AdWords, Second edition, O’Reilly Media, ISBN-13: 978-0596155797
Lo, A. (2017), Adaptive Markets: Financial Evolution at the Speed of Thought, Princeton University Press, ISBN-13: 978-0691135144
Burgess, A. (2017), The Executive Guide to Artificial Intelligence: How to identify and implement applications for AI in your organization, First edition, Springer International Publishing, ISBN-13: 978-3319638195
Blackburn, S. (2003) Ethics, a Very Short Introduction, Oxford Press, ASIN: B00DEKQQQK
Suikkanen, j. (2015) This is Ethics: An Introduction, Wiley-Blackwell, ISBN-10: 1118479858
Adams, B., Breazeal, C., Brooks, R., & Scassellati , B. (2000) ‘Humanoid Robots: A New Kind of Tool’ - IEEE Intelligent Systems 15 (4):25-31.
Ashrafian, H. (2015) ‘Artificial Intelligence and Robot Responsibilities: Innovating Beyond Rights’ - Science and Engineering Ethics 21 (2):317-326.
Battaglia, F. (2014) ‘Basic Issues of Ethics in Robotics’ - In Roboethics in Film.

Access to the library and electronic journals.

None