Harnessing big data and developing artificial intelligence (AI) are two of the forces shaping the digital revolution that is sweeping across the corporate world and our society as a whole. These new technologies represent major opportunities for business, but they also bring with them their fair share of ethical and legal challenges.
This course is designed to help participants become more attuned to the main ethical considerations associated with AI and Big Data and to familiarize them with various international legal frameworks, guidelines and best practices applicable to ethics and the digital world.
GOALS
The program will give you the tools you need to:
- Identify and analyze the main ethical considerations associated with the emergence of AI and Big Data.
- Compare and analyze international legislation in data security (Canada, U.S., Europe and China).
- Understand the key principles underlying the ethics of AI and big data.
- Recognize and anticipate ethical and legal issues related to developing AI and harnessing big data within your organization.
IS THIS FOR YOU?
This course has been designed to cater specifically (although not exclusively) to the needs of:
- Leaders and managers who wish to learn more about the ethical and legal impact of big data and AI projects.
- Visionary entrepreneurs with AI-related aspirations for their organization.
SPECIAL FEATURES
Up-to-the-minute content revolving around real-life cases and recent developments in digital law and ethics.
Participants will receive a certificate of completion from Executive Education HEC Montréal.
Definitions and key concepts
Big Data and AI: Main ethical challenges
- Risks and rewards of AI
- Harnessing big data
- Major scandals and controversies
- Bias and discrimination
- Artificial moral agents
- The right of transparency
- Robotic process automation and the future of work
- AI for good (and AI for bad)
- Existential threats
Ethics-related recommendations and guidelines
- 10 principles of the Montreal declaration for responsible AI development
Workshop
- Assessing ethical and legal challenges and risks related to developing AI and using big data within your organization
Legal framework for privacy and ethics
- International legislation
- Canadian statutes
- Quebec statutes (Law 25/Bill 64)
TRAINING APPROACH
- Interactive learning
- Business cases
- Group discussions
- Optional reading lists
MSc (Management), PhD (Management)
Associate Professor, Department of Management, HEC Montréal
Presentation
Program
Instructors
GOALS
The program will give you the tools you need to:
- Identify and analyze the main ethical considerations associated with the emergence of AI and Big Data.
- Compare and analyze international legislation in data security (Canada, U.S., Europe and China).
- Understand the key principles underlying the ethics of AI and big data.
- Recognize and anticipate ethical and legal issues related to developing AI and harnessing big data within your organization.
IS THIS FOR YOU?
This course has been designed to cater specifically (although not exclusively) to the needs of:
- Leaders and managers who wish to learn more about the ethical and legal impact of big data and AI projects.
- Visionary entrepreneurs with AI-related aspirations for their organization.
SPECIAL FEATURES
Up-to-the-minute content revolving around real-life cases and recent developments in digital law and ethics.
Participants will receive a certificate of completion from Executive Education HEC Montréal.
Definitions and key concepts
Big Data and AI: Main ethical challenges
- Risks and rewards of AI
- Harnessing big data
- Major scandals and controversies
- Bias and discrimination
- Artificial moral agents
- The right of transparency
- Robotic process automation and the future of work
- AI for good (and AI for bad)
- Existential threats
Ethics-related recommendations and guidelines
- 10 principles of the Montreal declaration for responsible AI development
Workshop
- Assessing ethical and legal challenges and risks related to developing AI and using big data within your organization
Legal framework for privacy and ethics
- International legislation
- Canadian statutes
- Quebec statutes (Law 25/Bill 64)
TRAINING APPROACH
- Interactive learning
- Business cases
- Group discussions
- Optional reading lists
MSc (Management), PhD (Management)
Associate Professor, Department of Management, HEC Montréal