AI and Professional Ethics
6 Credits (ECTS)
AI and Professional Ethics
Get 70% back via Tax Credit
€683 refund on this module
Module Description
This module has two parts. The first part of the module will equip learners with a basic understanding of what AI is its importance and impact on the industry, business, and society.
Learners will also learn ethical concerns related to various components of AI, including knowledge representation, reasoning, decision making and problem-solving.
The second part of the module will equip learners with the Ethics and Professionalism.
It will include the personal ethics diagnostic and reflective exercise, Personal effectiveness, Maintaining professional competence and lifelong learning and Professional self-awareness, etc.
Entry Requirements
Candidates who apply for this course must possess one of the following:
- a Level 6 degree related to AI/Computer-Science/Mathematics/Electronics;
OR
- a Level 6 degree not related to AI/Computer Science/Mathematics/Electronics and a minimum of two years’ relevant experience;
OR
- a Level 5 diploma or higher diploma and five years’ of relevant work experience.
Target Audience
This course is targeted at:
- Industry professionals working in different domains, including Technology, Engineering, Science, IT, Finance, Accountancy, Management, Marketing, Insurance, Banking, Gaming, Healthcare, Medicine, Pharmaceutical, Human Resources, Psychology, Blockchain, Legal, Administration, Policy Making, Digital Art, Archaeology, Architecture, Education and other related areas.
- Recent graduates with degrees in Computer Science, Technology, Marketing, Finance, Economics, Accountancy, Management, HR, Law, Engineering, Science, Medicine, Psychology, Digital Art, Game Development, Archaeology, Architecture or Business.
- Mid-career-break professionals looking for opportunities to return to or change their career.
The target group may also be extended to positions such as that of wedding manager, transport manager, maintenance manager, operations manager, marketing manager, conference manager and even that of general manager.
Module / Unit Instructions
The proposed structure comprises a blended approach promoting the building of a community of practice via peer-to-peer learning.
The structure uses primarily two dimensions of teaching-learning modes:
- Face-to-face sessions: 18 hours.
- Online Learning Activities: 12 hours.
Face to Face sessions
- Face-to-face sessions include lectures, tutorials, discussions, presentations and workshop activities promoting peer-to-peer learning.
Online Learning Activities
Online learning activities incorporate tutorials and asynchronous discussions. These may consist of active interaction, participation and contributions in fora discussions, sharing resources and self-reflection exercises.
Learners also contribute to the building of the community of practice by providing feedback to their peers as critical friends, enhancing the learner’s critical engagement throughout the study period.
The tutor provides continual support during both teaching -learning modes by providing information, readings and tasks relevant to the module in question.
The tutor provides continuous formative feedback as an on-going guidance during the student’s learning experience in preparation for their summative assessment.
How you’ll be assessed
Assessment of each module consists of two assignments, each carrying a weighting as below:
a) One Formative assignment carries 20% of total module mark achieved. b) One Summative assignment carries 80% of total module mark achieved.
For successful completion of a study module the student is required to achieve a minimum of 41% pass mark in both the formative and the summative assignment.
The overall grade achieved for each module is calculated as the sum of: 20% of the mark achieved for formative assignment; and 80% of the mark achieved for the summative assignment.
All assignment tasks of both formative and summative assessment aim to provide the learner an opportunity to produce evidence of his/her competences aligned to the learning outcomes of each individual Module.
Assessment
a) Formative assessment tasks are provided in the form of structured online discussions that support learners in their development throughout all of the modules studied.
Such discussions are facilitated and monitored by lecturer who provides students with constructive feedback to help them improve and prepare for summative assignment and dissertation.
Formative assessment tasks will contribute to the student’s final mark to acknowledge their work and give chance to improve.
This method allows students to also contribute to the building of the community of practice by providing feedback to their peers as critical friends, enhancing the learner’s critical engagement throughout the study period
b) Summative assessment is done via one assignment at the end of each module. The mode of assessment varies and may include in-class assignments and home-based written assignments.
For module 1 the recommended assessment tool is using case studies or proposals. Other assessment tools which may be used are presentations or reports.
Word count range: 3000 ± 10% For successful completion of a study module, the student is required to achieve a minimum of 41% pass mark in the summative assignment.
Module Intake Dates
October 2024
Additional Info
Reading for the entire Master of Science (M.Sc.) in Artificial Intelligence as presented in this brochure costs €9,775.*
Upon successful completion of this course, students will be eligible for a 70% refund of the cost through the ‘Get Qualified’ scheme.**
Due to the modular structure of the course, you may also opt to take individual modules as stand-alone. The entry requirements still apply.***
*Prices are applicable to students who reside in Malta at the time of applying.
**Terms and conditions apply.
*** For the price of individual modules, please contact the IDEA Academy team.
Learning Outcomes
Competences: –
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
- Identify and understand the ethical perspective of application, role and impact of AI in an industry or business.
- Judiciously examine the perspective on ethics, ethics and maturity and ethics and professions.
- Thoroughly appreciate the requirements for rules v/s principles and framework.
- Comprehensively understand potential challenges in personal ethics, diagnostic, and reflective exercise.
- Critically analyse personal effectiveness using appropriate technology and IT.
Knowledge:
At the end of the module/unit the learner will have been exposed to the following:
- Debate different perspectives and implications of ethics as applicable to disciplne of AI.
- Compare and contrast ethics rules v/s principles and frameworks.
- Identify and discuss what constitutes Commercial awareness, business acumen and Professional Self-awareness.
- Compare different methods of maintaining professional competence and lifelong learning.
Key indicative topic areas cover:
Ethics And Professionalism
- Perspective on ethics
- Branches of ethics
- Ethics and gender test
- Ethics and morality
- Ethics and religion
- Ethics and maturity
- Ethics and professions
- Thinking about ethical decisions
- Accountant’s dilemma test
- Moral reasoning theory
- Academic references
Rules v/s principles and framework
- Rules v/s principles
- Some differences between rules and principles
- Rules v/s principles test
- The framework
- The 4-step process
- An ethical dilemma, Further considerations
- Framework flowchart
The personal ethics diagnostic and reflective exercise
- Ethical perspective
- The personal ethics diagnostic and reflective exercise test
- The urgent/ important principle of time management
- Using appropriate technology and IT
- Using email effectively
Maintaining professional competence and lifelong learning
- Continuing professional development
- The personal development plan
- The personal advertising campaign
- Key considerations in creating an effective CV
- Tips to prepare for an interview
- Unit action plan
Commercial awareness and business acumen
- Commercial awareness
- How to enhance your commercial awareness
- PESTEL analysis
- Business acumen test
Professional Self-awareness
- Introduction
- SWOT analysis
- Deciding when to seek the help of experts
- Professional self-awareness
Strategy Professional Support
- Introduction
- Professional skills
- Strategic Business Reporting (SBR)
- Advanced Financial Management (AFM)
- Advanced Performance Management (APM)
- Advanced Audit and Assurance (AAA-INT)
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Critically analyse Perspective on ethics, Ethics and maturity and Ethics and professions, the requirements for Rules v/s principles and framework.
- Use appropriate technology, and IT to critically analyse potential challenges in the personal ethics diagnostics.
- Apply the body of knowledge related to basic Commercial awareness and fundamentals of Professional self-awareness.
Judgment Skills and Critical Abilities:
The learner will be able to:
- Master problem- solving skills by analysing case studies and working out the issues presented in real-life situations.
Module-Specific Communication Skills:
The learner will be able to:
- Communicates ideas, problems, and solutions to both specialist and non-specialist audiences using a range of techniques involving qualitative and quantitative information to sustain arguments.
Module-Specific Learner Skills:
The learner will be able to:
- Undertake independent and self-directed study through primary and secondary research.
Module-Specific Digital Skills and Competences:
The learner will be able to:
- Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials etc.