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, students will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations.
Enrollment in this course includes student digital courseware, labs, and exam voucher for Certified Ethical Emerging Technologist (CEET): Exam CET-110.
What you’ll learn
Upon completion of Certified Ethical Emerging Technologist (CEET): Exam CET-110 course, students will be able to:
- 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
Requirements
- To ensure their success in this course, students should have a genuine interest in ensuring that emerging technologies are ethical, trusted, and inclusive. It may also be helpful if they 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. They 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.)
Target audiences
- 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. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-110: Certified Ethical Emerging Technologies.
Curriculum
- 1 Section
- 10 Lessons
- 3 Days
- Topics10
- 1.1Lesson 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
- 1.2Lesson 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
- 1.3Lesson 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
- 1.4Lesson 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
- 1.5Lesson 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
- 1.6Lesson 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
- 1.7Lesson 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
- 1.8Lesson 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
- 1.9Lesson 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
- 1.10Lesson 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
Instructor
