RiseUpp Logo
Educator Logo

Ethics in AI: Building Responsible Technology

Learn to implement ethical frameworks in AI and data science initiatives. Master practical approaches to building trustworthy AI systems.

Learn to implement ethical frameworks in AI and data science initiatives. Master practical approaches to building trustworthy AI systems.

This comprehensive course addresses the critical intersection of ethics and artificial intelligence in the Fourth Industrial Revolution. It equips business leaders and data professionals with practical frameworks for implementing ethical principles in AI and data science initiatives. The curriculum explores key challenges including privacy, security, and transparency while providing actionable strategies for building trust and accountability. Students learn to develop ethical frameworks that balance technological innovation with responsible stewardship, focusing on practical approaches to technical and business challenges in AI implementation.

4.2

(25 ratings)

11,741 already enrolled

Instructors:

English

Arabic, German, English, 9 more

Powered by

Provider Logo
Ethics in AI: Building Responsible Technology

This course includes

6 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

16,056

What you'll learn

  • Analyze ethical challenges in AI and data science implementation

  • Evaluate the business and societal impacts of artificial intelligence

  • Develop frameworks for implementing AI principles in organizations

  • Implement practical strategies for ethical AI development

  • Create accountability and transparency measures in AI systems

  • Apply ethical considerations to real-world AI applications

Skills you'll gain

AI Ethics
Data Privacy
Ethical Leadership
Technology Governance
Responsible AI
Framework Development
Trust Building
Data Science Ethics

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Provided by

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This course focuses on implementing ethical principles in AI and data science initiatives. It addresses key challenges in the Fourth Industrial Revolution, including privacy, security, and transparency. The curriculum covers ethical frameworks, practical implementation strategies, and methods for building trust and accountability in AI systems. Special emphasis is placed on balancing technological innovation with responsible stewardship and developing practical approaches to ethical challenges in AI deployment.

Welcome

Module 1

The State of Ethics, Trust & Responsibility with AI and Data Science

Module 2

What Do We Mean by Artificial Intelligence (AI) and Data Science and Why It Matters

Module 3

Strategies (& Challenges) of Putting Ethics & Responsibility into Practice

Module 4

Fee Structure

Instructor

Alka Roy
Alka Roy

4 Courses

AI Ethics Pioneer and Responsible Innovation Leader

Alka Roy is a distinguished technology leader and innovator who serves as the founder of RI Labs and The Responsible Innovation Project. Her multifaceted career spans product development, emerging technologies, and responsible innovation, with significant contributions to AI ethics and technology leadership. As a former Director of Product and Emerging Tech at AT&T, she successfully launched over 100 innovative Wireless, Cloud, and AI products, including establishing AT&T's Bay Area 5G co-create lab. Her current work focuses on guiding business leaders and organizations in responsible innovation practices, particularly in AI and emerging technologies. She has developed globally-accessed courses on Ethics in AI & Data Science for the Linux Foundation, reaching learners in over 83 countries. Her academic contributions include guest lecturing at UC Berkeley and the University of Notre Dame on Entrepreneurship and Responsible Innovation. Roy holds patents in policy and security frameworks and combines technical expertise (Computer Science & Electrical Engineering degree) with creative thinking (MFA in creative writing). Her contributions have earned her recognition on the 100 Brilliant Women in AI & Ethics List and the National Women of Color in Technology Outstanding Contribution Award. Through her leadership of the LF AI & Data's Trusted AI Committee, she has helped establish principles for responsible AI development that influence the broader technology ecosystem

Ethics in AI: Building Responsible Technology

This course includes

6 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

16,056

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.2 course rating

25 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.