On-site
Online

Big Data and AI: Decoding Ethical and Legal Issues

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Length
1 day
9 a.m. to 5 p.m.

    Contact us to find out upcoming dates executiveeducation@hec.ca

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  • Downtown

Rate
Regular price
$1,195
Sale price
$1,195
Regular price
Language

French

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Nadia Uria-Fernandez
Nadia Uria-Fernandez
Program Manager

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.

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
Adrian Gonzalez Sanchez

MSc (mobile communications), MBA

Telecom & IT Engineer, Microsoft

Joé T. Martineau

MSc (Management), PhD (Management)

Associate Professor, HEC Montréal

On-site
Online

Big Data and AI: Decoding Ethical and Legal Issues

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.

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.

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
Adrian Gonzalez Sanchez

MSc (mobile communications), MBA

Telecom & IT Engineer, Microsoft

Joé T. Martineau

MSc (Management), PhD (Management)

Associate Professor, HEC Montréal

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