What does the AI at Work course cover?
AI at Work is covered here in 5 modules: Introduction to AI and the Workforce: Defining AI and its types, Understanding Bias in AI: Case studies: bias in AI systems, Ethics in AI Decision-Making: Case studies: ethical AI decision-making in practice and 2 more.
How do you approach AI at Work step by step?
The work is sequenced in 5 stages. It starts with Introduction to AI and the Workforce: Defining AI and its types, moves through Understanding Bias in AI: Case studies: bias in AI systems and ethics in AI Decision-Making: Case studies: ethical AI decision-making in practice, and ends at Real-World Applications and Case Studies.
What is in Module 1 of the AI at Work course?
Module 1 is Introduction to AI and the Workforce: Defining AI and its types. It works through defining AI and its types, history of AI and its evolution, AI applications in various industries and 1 more. It sets the vocabulary the remaining 4 modules build on.
How is the AI at Work course delivered?
The AI at Work course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the AI at Work course cost?
The AI at Work course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Data ethics, AI Ethics and Bias Mitigation for Ethical AI Deployment, Unfair Bias in Data Ethics in AI, ML, and RPA, Bias Correction in Data Ethics in AI, ML, and RPA.
More answers: what you get with every course, refund policy, all help answers.
AI at Work: Unpacking Bias and Ethics in the Automated Workforce
Course Overview
In this comprehensive and interactive course, you'll delve into the world of AI and its impact on the workforce. Explore the complexities of bias and ethics in AI, and gain the skills to navigate the automated workforce with confidence. Upon completion, participants receive a certificate, demonstrating their expertise in AI ethics and bias.Course Objectives
- Understand the fundamentals of AI and its applications in the workforce
- Identify and address bias in AI systems
- Develop a framework for ethical AI decision-making
- Analyze real-world case studies of AI implementation
- Apply practical strategies for mitigating AI bias
- Engage with a community of professionals and experts in AI ethics
Course Curriculum
Module 1. Introduction to AI and the Workforce: Defining AI and its types
- Defining AI and its types
- History of AI and its evolution
- AI applications in various industries
- The future of work: AI's impact on jobs and skills
Module 2. Understanding Bias in AI: Case studies: bias in AI systems
- Types of bias: data, algorithmic, and human
- Sources of bias: data collection, preprocessing, and modeling
- Consequences of bias: fairness, accountability, and transparency
- Case studies: bias in AI systems
Module 3. Ethics in AI Decision-Making: Case studies: ethical AI decision-making in practice
- Principles of AI ethics: fairness, transparency, and accountability
- AI decision-making frameworks: human-centered and value-based
- Stakeholder analysis: identifying and engaging with stakeholders
- Case studies: ethical AI decision-making in practice
Module 4. Mitigating AI Bias: Data curation: collecting and preprocessing data
- Data curation: collecting and preprocessing data
- Algorithmic auditing: testing and evaluating AI systems
- Human oversight: monitoring and correcting AI decisions
- Strategies for mitigating bias: data augmentation, regularization, and fairness metrics
Module 5: Real-World Applications and Case Studies
- AI in healthcare: diagnosis, treatment, and patient care
- AI in finance: risk assessment, credit scoring, and portfolio management
- AI in education: personalized learning, grading, and student assessment
- Case studies: AI implementation in various industries
Course Features
- Interactive and Engaging: Participate in discussions, quizzes, and hands-on projects to reinforce learning
- Comprehensive and Personalized: Receive tailored feedback and guidance from expert instructors
- Up-to-date and Practical: Learn from real-world examples and case studies
- High-quality Content: Access expert-curated resources and materials
- Expert Instructors: Learn from renowned experts in AI ethics and bias
- Certification: Receive a certificate upon completion, demonstrating expertise in AI ethics and bias
- Flexible Learning: Access course materials anytime, anywhere
- User-friendly and Mobile-accessible: Navigate the course platform with ease
- Community-driven: Engage with a community of professionals and experts in AI ethics
- Actionable Insights: Apply practical strategies for mitigating AI bias
- Hands-on Projects: Participate in real-world projects to reinforce learning
- Bite-sized Lessons: Learn in manageable chunks, at your own pace
- Lifetime Access: Access course materials forever
- Gamification and Progress Tracking: Monitor progress and stay motivated