Course Overview
Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm.
Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations.
Moyens d'évaluation :
- Quiz pré-formation de vérification des connaissances (si applicable)
- Évaluations formatives pendant la formation, à travers les travaux pratiques réalisés sur les labs à l’issue de chaque module, QCM, mises en situation…
- Complétion par chaque participant d’un questionnaire et/ou questionnaire de positionnement en amont et à l’issue de la formation pour validation de l’acquisition des compétences
Who should attend
This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science.
Prerequisites
To ensure your success in this course, you should have a genuine interest in ensuring that emerging technologies are ethical, trusted, and inclusive. It may also be helpful if you have an understanding of concepts related to emerging technologies. Practical experience implementing data science, AI, and/or IoT to solve business problems is encouraged but not required. You can obtain the appropriate knowledge of emerging technologies concepts by attending any or all of the following courses:
- IoTBIZ™ (Exam IOZ-110)
- DSBIZ™ (Exam DSZ-110): Data Science for Business Professionals
- AIBIZ™ (Exam AIZ-110)
- ETBIZ: Emerging Technology for the Business Professional (Exam ETZ-110)
Course-specific Technical Requirements
Hardware:
For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:
- 1 gigahertz (GHz) 64-bit (x64) processor.
- 4 gigabytes (GB) of Random Access Memory (RAM).
- 32 GB available storage space.
- Monitor capable of a screen resolution of at least 1,024 × 768 pixels, at least a 256-color display, and a video adapter with at least 4 MB of memory.
- Bootable DVD-ROM or USB drive.
- Keyboard and mouse or a compatible pointing device.
- Fast Ethernet (100 Mb/s) adapter or faster and cabling to connect to the classroom network.
- IP addresses that do not conflict with other portions of your network.
- Internet access (contact your local network administrator).
- (Instructor computer only) A display system to project the instructor's computer screen.
Software:
Each computer will need to have the following software installed. Unless otherwise specified, the software should be full licensed versions.
- Any current version of Microsoft Windows®.
- Adobe® Acrobat® Reader® or an equivalent PDF viewer.
- If necessary, software for viewing the course slides. (Instructor machine only.)
Course Objectives
In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will:
- Describe general concepts, theories, and challenges related to ethics and emerging technologies.
- Identify ethical risks.
- Practice ethical reasoning.
- Identify and mitigate safety and security risks.
- Identify and mitigate privacy risks.
- Identify and mitigate fairness and bias risks.
- Identify and mitigate transparency and explainability risks.
- Identify and mitigate accountability risks.
- Build an ethical organization.
- Develop ethical systems in technology-focused organizations.
Course Content
Lesson 1: Introduction to Ethics of Emerging Technologies
- Topic A: What’s at Stake
- Topic B: Ethics and Why It Matters
- Topic C: Ethical Decision-Making in Practice
- Topic D: Causes of Ethical Failures
Lesson 2: Identifying Ethical Risks
- Topic A: Ethical Reasons
- Topic B: Stumbling Blocks for Ethical Reasoning
- Topic C: Identify Ethical Risks in Product Development
- Topic D: Tools for Identifying Ethical Risks
- Topic E: Use Regulations, Standards, and Human Rights to Identify Ethical Risks
Lesson 3: Ethical Reasoning in Practice
- Topic A: Ethical Theories
- Topic B: Use Ethical Decision-Making Frameworks
- Topic C: Select Options for Action
- Topic D: Avoid Problems in Ethical Decision-Making
Lesson 4: Identifying and Mitigating Security Risks
- Topic A: What Is Security?
- Topic B: Identify Security Risks
- Topic C: Security Tradeoffs
- Topic D: Mitigate Security Risks
Lesson 5: Identifying and Mitigating Privacy Risks
- Topic A: What Is Privacy?
- Topic B: Identify Privacy Risks
- Topic C: Privacy Tradeoffs
- Topic D: Mitigate Privacy Risks
Lesson 6: Identifying and Mitigating Fairness and Bias Risks
- Topic A: What Are Fairness and Bias?
- Topic B: Identify Bias Risks
- Topic C: Fairness Tradeoffs
- Topic D: Mitigate Bias Risks
Lesson 7: Identifying and Mitigating Transparency and Explainability Risks
- Topic A: What Are Transparency and Explainability?
- Topic B: Identify Transparency and Explainability Risks
- Topic C: Transparency and Explainability Tradeoffs
- Topic D: Mitigate Transparency and Explainability Risks
Lesson 8: Identifying and Mitigating Accountability Risks
- Topic A: What Is Accountability?
- Topic B: Identify Accountability Risks
- Topic C: Accountability Tradeoffs
- Topic D: Mitigate Accountability Risks
Lesson 9: Building an Ethical Organization
- Topic A: What Are Ethical Organizations?
- Topic B: Organizational Purpose
- Topic C: Ethics Awareness
- Topic D: Develop Professional Ethics within Organizations
Lesson 10: Developing Ethical Systems in Technology-Focused Organizations
- Topic A: Policy and Compliance
- Topic B: Metrics and Monitoring
- Topic C: Communication and Stakeholder Engagement
- Topic D: Ethical Leadership
Moyens Pédagogiques :