The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.
Offrez à votre carrière le cadeau de Coursera Plus avec $160 de réduction, facturé annuellement. Économisez aujourd’hui.
Promote the Ethical Use of Data-Driven Technologies
Ce cours fait partie de CertNexus Certified Ethical Emerging Technologist Certificat Professionnel
Instructeurs : Tania De Gasperis
25 960 déjà inscrits
Inclus avec 
(240 avis)
Expérience recommandée
Ce que vous apprendrez
Distinguish between artificial intelligence and data science concepts.
Protect data privacy with ethical and legal standards.
Assess the potential risks of bias.
Advocate for the importance of risk evaluation in emerging technologies.
Détails à connaître
Ajouter à votre profil LinkedIn
5 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
Élaborez votre expertise en Machine Learning
- Apprenez de nouveaux concepts auprès d'experts du secteur
- Acquérez une compréhension de base d'un sujet ou d'un outil
- Développez des compétences professionnelles avec des projets pratiques
- Obtenez un certificat professionnel partageable auprès de CertNexus
Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
Il y a 6 modules dans ce cours
The first module in this course will cover some of the major technologies that are currently emerging in the world today, particularly data-driven technologies. The module will also go over some of the concepts that are fundamental to understanding how these technologies are used, without going into too much technical detail.
Inclus
13 vidéos11 lectures1 devoir1 sujet de discussion
The second module in this course deals with the concept of privacy as it relates to data-driven technologies. You'll learn about the interaction of data and privacy from both a legal and ethical standpoint, as well as terms and concepts that surround these interactions.
Inclus
11 vidéos8 lectures1 devoir1 sujet de discussion
This module outlines the concept of bias as it relates to data-driven technologies. In particular, it focuses on the types of biases out there, and how bias in data-driven technologies affects people and societies.
Inclus
10 vidéos7 lectures1 devoir1 sujet de discussion
This module will cover some of the major theories and concepts that are involved in the field of ethics. It will also tie those theories and concepts to their application in data-driven technologies like AI.
Inclus
22 vidéos2 lectures1 devoir1 sujet de discussion
This module will cover some of the major ethical principles. It will also demonstrate how to integrate those ethical principles in the organization.
Inclus
10 vidéos4 lectures1 devoir1 sujet de discussion
You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.
Inclus
2 lectures2 évaluations par les pairs
Instructeurs
Offert par
Recommandé si vous êtes intéressé(e) par Machine Learning
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Avis des étudiants
Affichage de 3 sur 240
240 avis
- 5 stars
85,47 %
- 4 stars
7,46 %
- 3 stars
2,07 %
- 2 stars
1,24 %
- 1 star
3,73 %
Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à plus de 7 000 cours de renommée internationale, à des projets pratiques et à des programmes de certificats reconnus sur le marché du travail, tous inclus dans votre abonnement
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux Questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.