Career Advancement Programme in Ethical AI Engagement Strategies for Social Media
-- viewing nowAI Artificial Intelligence is transforming the way we interact with social media. The Career Advancement Programme in Ethical AI Engagement Strategies for Social Media aims to equip professionals with the skills to navigate this new landscape.
3,123+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Designed for social media professionals, this programme focuses on AI ethics and engagement strategies to ensure responsible AI use. You'll learn how to develop AI-powered content and measure its impact.
Join the programme to stay ahead in your career and contribute to the development of responsible AI practices. Explore the programme now and discover how to harness the power of AI for social good.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Data Governance: Establishing clear policies and procedures for data management, including data quality, security, and compliance with regulations such as GDPR and CCPA. •
AI Ethics Framework: Developing a comprehensive framework that outlines the principles and values that guide AI development and deployment, including fairness, transparency, and accountability. •
Social Media Monitoring: Continuously monitoring social media conversations about the brand, competitors, and industry trends to stay informed and adjust the AI engagement strategy accordingly. •
Human Oversight: Ensuring that AI-powered social media tools are used in conjunction with human oversight to detect and correct any biases or errors that may arise. •
Diversity and Inclusion: Incorporating diverse perspectives and voices into the AI development process to ensure that the AI system is fair, unbiased, and inclusive. •
Explainability and Transparency: Developing AI models that provide clear explanations for their decisions and actions, and being transparent about the data used to train them. •
AI Training Data: Ensuring that the training data used to develop AI models is diverse, representative, and free from bias, and that the data is properly anonymized and aggregated. •
Social Media Crisis Management: Developing a crisis management plan that includes procedures for responding to AI-related crises, such as AI-generated misinformation or AI-powered harassment. •
Stakeholder Engagement: Engaging with stakeholders, including customers, employees, and investors, to understand their concerns and expectations around AI and social media. •
Regulatory Compliance: Ensuring that the AI engagement strategy complies with relevant regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).
Data Governance: Establishing clear policies and procedures for data management, including data quality, security, and compliance with regulations such as GDPR and CCPA. •
AI Ethics Framework: Developing a comprehensive framework that outlines the principles and values that guide AI development and deployment, including fairness, transparency, and accountability. •
Social Media Monitoring: Continuously monitoring social media conversations about the brand, competitors, and industry trends to stay informed and adjust the AI engagement strategy accordingly. •
Human Oversight: Ensuring that AI-powered social media tools are used in conjunction with human oversight to detect and correct any biases or errors that may arise. •
Diversity and Inclusion: Incorporating diverse perspectives and voices into the AI development process to ensure that the AI system is fair, unbiased, and inclusive. •
Explainability and Transparency: Developing AI models that provide clear explanations for their decisions and actions, and being transparent about the data used to train them. •
AI Training Data: Ensuring that the training data used to develop AI models is diverse, representative, and free from bias, and that the data is properly anonymized and aggregated. •
Social Media Crisis Management: Developing a crisis management plan that includes procedures for responding to AI-related crises, such as AI-generated misinformation or AI-powered harassment. •
Stakeholder Engagement: Engaging with stakeholders, including customers, employees, and investors, to understand their concerns and expectations around AI and social media. •
Regulatory Compliance: Ensuring that the AI engagement strategy complies with relevant regulations, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).
Career path
| **Career Role** | Job Description |
|---|---|
| **Ethical AI Engineer** | Design and develop AI systems that are fair, transparent, and accountable. Ensure that AI solutions align with organizational values and regulations. |
| **AI Research Scientist** | Conduct research in AI and machine learning to advance the state-of-the-art in AI applications. Publish research papers and present findings at conferences. |
| **Machine Learning Engineer** | Design and develop machine learning models and algorithms to solve complex problems. Implement and deploy models in production environments. |
| **Data Scientist (AI Focus)** | Work with data to identify trends and patterns that can inform AI decision-making. Develop and deploy AI models using data science techniques. |
| **Business Analyst (AI)** | Apply AI and machine learning techniques to business problems. Analyze data to identify opportunities for AI adoption and develop business cases for AI initiatives. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CAREER ADVANCEMENT PROGRAMME IN ETHICAL AI ENGAGEMENT STRATEGIES FOR SOCIAL MEDIA
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
