Delve into institutional policies for the ethical use of Machine Learning at the world's best digital university according to Forbes"   

The Ethics of Machine Learning in the educational field is of utmost importance, because of its impact on the teaching and development of people. In this sense, this system certifies that the privacy and data protection rights of students are respected, avoiding the misuse of personal information. This standard also requires that AI systems in education be transparent and that the decisions they make be explainable. This ensures that students, teachers and parents understand how the data are used once they have given informed consent.  

In this context, TECH is launching a Postgraduate certificate that will thoroughly address the ethical and legal aspects of Artificial Intelligence in the educational system. The syllabus will provide students with strategies to ensure transparency and privacy in data collection. In addition, the syllabus will delve into the current regulations applicable to Artificial Intelligence in Education, so that entrants perform safe procedures. In line with this, the didactic materials will focus on exploring opportunities to improve teaching processes. Throughout the training, professionals will be encouraged to contribute innovative proposals to improve learning. 

This is a university program that equips students with robust competencies, so that they can use them in their daily practice, facing real situations. All this thanks to the support of an excellent teaching staff and access to a revolutionary teaching methodology, pioneer in TECH: Relearning, based on the repetition of key concepts to ensure optimal acquisition of knowledge. All that is required is that students have a device with Internet access (such as a cell phone, tablet or computer) to access the Virtual Campus and enjoy the most dynamic content on the academic market. 

Apply strategies to involve all stakeholders in ethical decision making"

The Postgraduate certificate in Artificial Intelligence Ethics in Education contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial Intelligence in Education
• The graphic, schematic and practical contents of the book provide theoretical and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

You will implement state-of-the-art methods for assessing the ethical implications of Artificial Intelligence applications" 

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will address the most innovative ethical solutions in the academic environment, ensuring the privacy of student data at all times"

The Relearning system applied by TECH in its programs reduces the long hours of study so frequent in other teaching methods"

This Postgraduate certificate will address in detail both the ethics and legislation of Artificial Intelligence in education. The syllabus will focus on factors such as data policies when dealing with confidential information. At the same time, the syllabus will delve into the impact of Machine Learning in promoting cultural diversity and gender equity in Education. The didactic contents will also balance technological innovation and ethical considerations in the classroom. Graduates will apply strategies to develop inclusive and diversity-sensitive Artificial Intelligence systems.  

A complete and current syllabus configured as a high-quality training tool of exceptional quality"    

Module 1. Ethics and Legislation of Artificial Intelligence in Education 

1.1. Identification and Ethical Treatment of Sensitive Data in the Educational Context 

1.1.1. Principles and Practices for the Ethical Handling of Sensitive Data in Education 
1.1.2. Challenges in Protecting the Privacy and Confidentiality of Student Data 
1.1.3. Strategies for Ensuring Transparency and Informed Consent in Data Collection 

1.2. Social and Cultural Impact of AI in Education 

1.2.1. Analysis of the Effect of AI on Social and Cultural Dynamics in Educational Environments 
1.2.2. Exploration of how AI can Perpetuate or Mitigate Social Biases and Inequalities 
1.2.3. Assessing the Social Responsibility of Developers and Educators in the implementation of AI 

1.3. AI Legislation and Data Policy in Educational Settings 

1.3.1. Review of Current Data and Privacy Laws and Regulations Applicable to AI in Education 
1.3.2. Impact of Data Policies on Educational Practice and Technological Innovation 
1.3.3. Development of Institutional Policies for the Ethical Use of AI in Education 

1.4. Assessing the Ethical Impact of AI 

1.4.1. Methods for Assessing the Ethical Implications of AI Applications in Education 
1.4.2. Challenges in Measuring the Social and Ethical Impact of AI 
1.4.3. Creating Ethical Frameworks to Guide the Development and Use of AI in Education 

1.5. Challenges and Opportunities of AI in Education 

1.5.1. Identification of Major Ethical and Legal Challenges in the Use of AI in Education 
1.5.2. Exploration of Opportunities for Improving Teaching and Learning through AI 
1.5.3. Balancing Technological Innovation and Ethical Considerations in Education 

1.6. Ethical Application of AI Solutions in the Educational Environment 

1.6.1. Principles for Ethical Design and Deployment of AI Solutions in Education 
1.6.2. Case Studies on Ethical Applications of AI in Different Educational Contexts 
1.6.3. Strategies for Involving All Stakeholders in Ethical AI Decision-Making 

1.7. AI, Cultural Diversity and Gender Equity 

1.7.1. Analysis of the Impact of AI on the Promotion of Cultural Diversity and Gender Equity in Education 
1.7.2. Strategies for Developing Inclusive and Diversity-Sensitive AI Systems 
1.7.3. Assessment of how AI can Influence the Representation and Treatment of Different Cultural and Gender Groups 

1.8. Ethical Considerations for the use of AI Tools in Education 

1.8.1. Ethical Guidelines for the Development and Use of AI Tools in the Classroom 
1.8.2. Discussion on the Balance between Automation and Human Intervention in Education 
1.8.3. Analysis of Cases where the use of AI in Education has Raised Significant Ethical Issues 

1.9. Impact of AI on Educational Accessibility 

1.9.1. Exploration of how AI can Enhance or Limit Accessibility in Education 
1.9.2. Analysis of AI Solutions designed to Increase Inclusion and Access to Education for All 
1.9.3. Ethical Challenges in Implementing AI Technologies to Improve Accessibility 

1.10. Global Case Studies in AI and Education 

1.10.1. Analysis of International Case Studies on the Use of AI in Education 
1.10.2. Comparison of Ethical and Legal Approaches in Different Educational Cultural Contexts 
1.10.3. Lessons Learned and Best Practices from Global Cases in AI and Education

You will have access to a library of multimedia resources 7 days a week, 24 hours a day"