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Humans and Machines: Designing human-AI interactions for professional success (2235.YR.015860.1)

General information

Type:

OPT

Curs:

1

Period:

S semester

ECTS Credits:

3 ECTS

Teaching Staff:

Group Teacher Department Language
Year 1 Xavier Busquets Carretero Operaciones, Innovación y Data Sciences ENG

Prerequisites

N/A

COURSE CONTRIBUTION TO PROGRAM

This course will be taught by Javier Busquets, PhD and Cris Pedregal, PhD

Calling all aspiring trailblazers in the digital age! Are you ready to unlock your potential and thrive at the forefront of the digital business revolution? The MsC in Digital Business offers an exciting opportunity to harness the power of Artificial Intelligence (AI) and become a sought-after professional in the dynamic world of Human-AI Interaction. Introducing "Humans and Machines: Designing Human-AI Interaction for Professional Success," a game-changing course tailored specifically for ambitious students. In this cutting-edge program, we're not just teaching AI theory; we're immersing you in the heart of AI's transformative potential and guiding you to be a driving force in shaping its future.

This course is designed with your career success in mind! In today's tech-driven job market, the demand for AI expertise is skyrocketing, and organizations are actively seeking talent with advanced skills in Human-AI Interaction. Become the standout candidate employers crave by mastering the art of designing seamless and intuitive interactions between humans and AI systems.

We will cover real-world Applications We blend theoretical knowledge with hands-on projects, ensuring you gain practical expertise in designing AI applications that make a real impact. From chatbots that redefine customer service to AI-driven interfaces revolutionizing user experiences, you'll be at the forefront of innovation.

By choosing this course you will acquire 1) Multidisciplinary Networking and cross-disciplinary collaboration; 2) Cognitive and Ethic AI Leadership: how to develop AI solutions that are not only cutting-edge but also socially conscious and accountable; 3) Transformative Skill Set: This course isn't just about technical know-how. We focus on developing essential professional skills?effective communication, team collaboration, and project management?to make you a well-rounded, adaptable professional. You'll be equipped to lead successful AI projects and excel in any digital business environment; 4) Futuristic Opportunities: Imagine being at the forefront of groundbreaking technologies, working on projects that shape the future.

Step into the world of "Humans and Machines: Designing Human-AI Interaction for Professional Success." Seize this opportunity to unlock your potential, enhance your employability, and become a trailblazer in the digital age! Don't miss your chance to shape the future

Course Learning Objectives

1. Understand the Context: Humans, Life and Learning: A Complex Systems approach
Introduction to complex systems
Abstraction, representations and modeling
Nonlinearity and Self-organization

2. Understand the principles for good Human-AI symbiosis
What is a Human Centric AI UX design?
Understanding open systems and their boundaries: information and energy
"Systemantics" and "anti-fragility"
Adaptability and evolution: life vs technology systems
Implications for human-AI interaction

3. Undertand Explainability: Computation and Cognition
What it means to know, and to characterize uncertainty
Model design
AI limits: 1) Incompleteness of formal models; 2) Computational complexity 3) data bias and 4) (in)tractability
Human cognitive biases and limitations: bias/optical illusions, detachment of vehicle operators out of the loop, etc.

5. Decision-Making: uncertainty and information
Entropy and uncertainty
Decision-making under uncertainty
Human-AI interaction in uncertainty
Human-AI collaboration for tackling complex problems

6. Design Human and Computer Representations
System visualization and sense-making (evidence vs noise)
Interface design for navigating virtual spaces and language conversations
Sense making in distributed and concurrent systems

7. Problem solving and Case Studies: Human-AI Interaction in Complex Systems
The future of democracy: Network analysis and social systems
Autonomous cars: Urban planning and transportation systems
Drug Discovery and human digital twins
Others

8. Ethical, Moral and Political Implications of Human-AI Interaction in Complex Systems
Ethics, Morals and Politics
Dependencies, Transparency, incentives and accountability in AI decision-making
Who does the job in complex systems?
Fairness and bias mitigation in complex systems
Privacy and security considerations

8. What makes you a good designer?
Integration of AI in cyber-physical systems
Human-AI interaction in ecological and environmental systems
Implications of human-AI symbiosis in complex systems

Assessment criteria

Individual participation 10%
Pre-case and pre-work preparation 10%
Group work 30%
Final assignment and exam 50%

Bibliography

Kore, A (2022) Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence, Apress
Ben Shneiderman (2022) Centered AI, Oxford
Simon, H (1996) The Science of the Artificial
Van Roij et al (2023) Cognition and Intractability, Cambridge University Press

Timetable and sections

Group Teacher Department
Year 1 Xavier Busquets Carretero Operaciones, Innovación y Data Sciences

Timetable Year 1

From 2024/1/22 to 2024/1/26:
From Tuesday to Wednesday from 11:30 to 12:00.
From Tuesday to Wednesday from 12:00 to 14:00.
From Monday to Friday from 8:45 to 11:15.
Monday, Thursday and Friday from 11:30 to 14:00.