ARTIFICIAL INTELLIGENCE FOR MANAGEMENT AND ORGANIZATIONS

The goal of the course is to introduce students to a deeper understanding of AI, its basic architectures, some current utilizations. The course aims to provide the foundations that can also be used in subsequent courses of the International Management program and in the students' thesis work.
While the course will be heavily hands-on (using freely available tools), with students producing examples at almost every lecture, its aim is to go beyond superficial understanding of AI and to enable students to better understand where does AI come from, its current dominant architectures and the social and ethical issues associated to its diffusion.

The course aims to develop the skills that students can use in various innovative professional fields where knowledge and the ability to use Artificial Intelligence tools are required.

1. Knowledge and Understanding: Students are expected to acquire knowledge of the fundamental concepts underlying the development of Artificial Intelligence, the ability to understand its functioning and applications, and to comprehend its impact on businesses and society.
2. Applied Knowledge and Understanding: Students will develop the ability to apply basic concepts to specific activities and analytical models, and they will improve their ability to use generative AI tools.
3. Judgment Skills: Students will learn to critically evaluate contemporary developments in AI and will develop individual and group-based examples and applications.
4. Communication Skills: Students will learn to communicate in groups through teamwork opportunities and by presenting their work in class. They will also develop better human-computer communication skills.
5. Learning Ability: The course will enhance students' ability to learn through the use of interactive tools.

The course requires basic skills in using a PC and knowledge of the core concepts of the management field.

What is Artificial Intelligence?
A short history (including AI & organizations) and future trajectories.
Machine learning with applications to management.
Neural networks and deep learning. Applications to decision making.
Generative A.I. and LLMs: an introduction.
Prompt engineering for LLM: examples.
Content creation with LLMs.
Sentiment analysis & emotion detection with LLMs.
Topic modeling with LLMs.
Brainstorming with LLMs.
Conversational AI.
Understanding and using APIs.
Human-machine interaction & AI.
Impact on organizations.
Ethics of AI, accountability issues.

During the course, the teacher will distribute reading materials at the end of each lesson. The materials will be made available on Moodle.

The exam will be written and will require, in addition to assessing the acquired knowledge, the development of a simple application of generative AI to management topics.

written

Regarding the grading scale (criteria for assigning grades):
A. Scores in the 18-22 range will be assigned in the presence of:
Sufficient knowledge and understanding of the course program;
Limited ability to apply knowledge and formulate independent judgments;
Sufficient ability to communicate using the appropriate technical language of the subject.

B. Scores in the 23-26 range will be assigned in the presence of:
Fair knowledge and understanding of the course program;
Fair ability to apply knowledge and formulate independent judgments;
Fair ability to communicate using the appropriate technical language of the subject.

C. Scores in the 27-30 range will be assigned in the presence of:
Good to excellent knowledge and understanding of the course program;
Good to excellent ability to apply knowledge and formulate independent judgments;
Good to excellent ability to communicate using the appropriate technical language of the subject.
D. Honors will be awarded in the presence of outstanding knowledge and applied understanding of the program, excellent judgment skills, and exceptional communication abilities.

The course will combine traditional lectures with practical activities, both individual and group-based, using freely accessible Artificial Intelligence tools.

Accessibility, Disability and Inclusion
Accommodation and support services for students with disabilities and students with specific learning impairments

Ca’ Foscari abides by Italian Law (Law 17/1999; Law 170/2010) regarding support
services and accommodation available to students with disabilities. This includes students with
mobility, visual, hearing and other disabilities (Law 17/1999), and specific learning impairments (Law 170/2010). If you have a disability or impairment that requires accommodations (i.e., alternate testing, readers, note takers or interpreters) please contact the Disability and Accessibility Offices in Student Services: disabilita@unive.it.

This subject deals with topics related to the macro-area "Circular economy, innovation, work" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development