INFOSYS 703 : Special Topic: Managing with Artificial Intelligence
Business and Economics
2022 Semester One (1223) (15 POINTS)
The course will provide a business-focused perspective on the use of Artificial Intelligence (AI) tools and solutions in organizations, with emphasis on the fundamentals of business and management. It will explore how different AI-enabled tools and solutions contribute to organizational and societal objectives and values. Specifically, in the organizational context the course will focus on how AI could be used to improve operational performance and deliver value to its key stakeholders, and how to manage with AI. It will also discuss the relationships between data and AI tools, to understand potential limitations of AI if relevant data is not available or fragmented.
The course will cover constraints and consequences of using AI tools such as information security, privacy and ethics; selection, implementation and governance of AI; as well as dependencies that may prohibit integration of AI with other tools and technologies used in the organization.
It will expose students to a broad range of applications of AI in various industries and organizations.
The course aims to prepare student to jobs that involve technology consultancy and management of technology, with specific focus on AI as an emergent technology.
Capabilities Developed in this Course
|Capability 1:||Disciplinary Knowledge and Practice|
|Capability 2:||Critical Thinking|
|Capability 3:||Solution Seeking|
|Capability 4:||Communication and Engagement|
|Capability 5:||Independence and Integrity|
|Capability 6:||Social and Environmental Responsibilities|
- Articulate how AI-enabled tools and solutions could be used for decision-making as part of wider business/organizational processes. (Capability 1, 2 and 6)
- Identify relevant data requirements for specific AI-enabled tools and solutions, taking into account an organizational, inter-organizational, technical, regulatory, and social perspective of the context in which the AI is being used. (Capability 1, 2, 3 and 4.2)
- Formulate requirements for selecting suitable AI-enabled tools and solutions to help organizations to improve the business value and/or operational performance. (Capability 2, 3, 4.2, 4.3 and 5.1)
- Apply key principles/frameworks for selection, implementation and governance of AI in various organizational contexts. (Capability 1, 3 and 4.1)
- Recognise the compliance implications of using AI-enabled tools and solutions. (Capability 5.2 and 6)
|case analysis and presentations||25%||Group & Individual Coursework|
|group project/presentation||15%||Group Coursework|
|Individual project||60%||Individual Coursework|
|Assessment Type||Learning Outcome Addressed|
|case analysis and presentations|
This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.
For this course, you can expect 36 hours of lectures (including seminar work), 24 hours of reading and thinking about the content and 90 hours of work on group and individual assignments.
Attendance is required at scheduled activities to complete components of the course.
Lectures will be available as recordings. Other learning activities including seminars will not be available as recordings.
The course may include live online events (in particular, guest lectures) and possibly some group discussions.
The activities for the course are scheduled as a standard weekly timetable.
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.
Your feedback helps teachers to improve the course and its delivery for future students.
Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.
The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.
Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.
All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.
Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz
If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.
If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.
This should be done as soon as possible and no later than seven days after the affected test or exam date.
In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.
Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.