Ir al contenido principal

Ethics in AI and Big Data

Learn how to build and incorporate ethical frameworks in your AI and Big Data technology and business initiatives to add transparency, build trust, and drive adoption.

Hay una sesión disponible:

¡Ya se inscribieron 6,427! Una vez finalizada la sesión del curso, será archivado.
Comienza el Jul 23
Termina el Aug 20
6 semanas estimadas
1–2 horas por semana
A tu ritmo
Avanza a tu ritmo
Gratis
Cambio opcional de categoría disponible

Sobre este curso

Omitir Sobre este curso

No longer stuck in the fantasy world of science fiction, Artificial Intelligence (AI) today is a reality, and data is its fuel. It is a key component of the Fourth Industrial Revolution in which the physical, digital and biological worlds are being fused together in a way that will have a tremendous impact on our global culture and economy. While the Fourth Industrial Revolution brings along promises and opportunities, it also raises concerns about security, user privacy, data misuse, and more. People distrust artificial intelligence. It is the responsibility of business and data professionals to change that: add transparency, develop standards and share best practices to build trust and drive AI adoption.

Business and data professionals today need AI frameworks and methods to achieve optimal results while also being good technology and business stewards. This course will teach you why AI and Big Data ethics is so critical and how to apply ethical and legal frameworks to initiatives in the data and analytics profession. You'll explore practical approaches to data and analytics problems posed by work in AI, Big Data, and Data Science.

De un vistazo

  • Idioma:English
  • Transcripción de video:English

Lo que aprenderás

Omitir Lo que aprenderás
  • Discuss business drivers for AI, as well as business and societal dynamics at work in an AI world.
  • Discuss the key principles for building responsible AI, and learn what are the initial steps to take when planning your AI framework.
  • Understand what ethics means and how to apply it to AI.
  • Learn where to start, what considerations should inform your ethical framework, and what this framework should include.
  • Review pan-industry initiatives on ethical AI.
  • Discuss the drivers for open source to support AI.
  • Review the technical and non-technical implications of AI.

Plan de estudios

Omitir Plan de estudios
  • Welcome!
  • Chapter 1. Drivers for Data Science
  • Chapter 2. Overview of AI and Data Science Ethics
  • Chapter 3. Building Your Ethical AI Framework
  • Chapter 4. Open Source and AI
  • Chapter 5. Going Forward with AI
  • Final Exam (Verified track only)

Acerca de los instructores

¿Te interesa este curso para tu negocio o equipo?

Capacita a tus empleados en los temas más solicitados con edX para Negocios.