AI Ethics, Governance, and Compliance
Self-paced videos, Lifetime access, Study material, Certification prep, Technical support, Course Completion Certificate
Summary
- Reed Courses Certificate of Completion - Free
- Uplatz Certificate of Completion - Free
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Overview
Uplatz provides this comprehensive course on AI Ethics, Governance, and Compliance. It is a self-paced course with pre-recorded video tutorials. You will be awarded Course Completion Certificate at the end of the course.
AI ethics, governance, and compliance refer to the processes, policies, and frameworks put in place to ensure that artificial intelligence (AI) technologies are developed, deployed, and used responsibly, ethically, and in accordance with legal and regulatory requirements. Here's an overview of key aspects:
Ethical Considerations: AI governance involves addressing ethical considerations related to AI development and deployment, such as fairness, transparency, accountability, and bias mitigation. It aims to ensure that AI systems uphold principles of fairness and do not discriminate against individuals or groups based on protected characteristics.
Regulatory Compliance: AI governance frameworks encompass compliance with relevant laws, regulations, and industry standards governing the use of AI technologies. This includes data protection regulations (e.g., GDPR, CCPA), sector-specific regulations (e.g., healthcare, finance), and ethical guidelines issued by regulatory bodies.
Risk Management: AI governance involves assessing and mitigating risks associated with AI technologies, including risks related to data privacy and security, algorithmic biases, legal liabilities, and reputational risks. It includes measures to identify, evaluate, and manage risks throughout the AI lifecycle.
Data Governance: Effective AI governance requires robust data governance practices to ensure the quality, integrity, and privacy of data used to train and operate AI systems. This includes data management, data privacy, data security, and data quality assurance measures to protect sensitive information and mitigate risks.
Transparency and Explainability: AI governance frameworks emphasize the importance of transparency and explainability in AI systems, particularly for high-risk applications such as healthcare and finance. It involves providing stakeholders with visibility into how AI systems make decisions and the factors influencing their outputs.
Accountability and Auditing: AI governance frameworks establish mechanisms for accountability and auditing to hold developers, operators, and users of AI systems accountable for their actions. This includes establishing clear lines of responsibility, implementing mechanisms for oversight and auditability, and enabling recourse for individuals affected by AI-related decisions.
Stakeholder Engagement: Effective AI governance requires engagement with diverse stakeholders, including policymakers, regulators, industry experts, civil society organizations, and affected communities. It involves soliciting input, building consensus, and fostering collaboration to develop responsible AI policies and practices.
Continuous Monitoring and Improvement: AI governance is an ongoing process that requires continuous monitoring, evaluation, and improvement of AI systems and governance mechanisms. It involves staying abreast of emerging risks, technological advancements, and evolving regulatory landscapes to adapt governance practices accordingly.
In summary, AI governance and compliance are essential for ensuring that AI technologies are developed and used in a manner that upholds ethical principles, complies with legal and regulatory requirements, and mitigates risks to individuals, organizations, and society as a whole. It involves a multifaceted approach that addresses ethical, legal, technical, and societal considerations throughout the AI lifecycle.
This AI Ethics, Governance and Compliance course provides participants with a comprehensive understanding of AI ethical concepts, governance and compliance frameworks, principles, and best practices. Participants will learn how to develop, implement, and oversee AI governance strategies to ensure responsible and ethical use of AI technologies in organizations. The course covers key topics such as ethical considerations, regulatory compliance, risk management, transparency, accountability, and stakeholder engagement in the context of AI governance.
Certificates
Reed Courses Certificate of Completion
Digital certificate - Included
Will be downloadable when all lectures have been completed.
Uplatz Certificate of Completion
Digital certificate - Included
Course Completion Certificate by Uplatz
Curriculum
Course media
Description
AI Ethics, Governance, and Compliance - Course Syllabus
Module 1 - AI Ethics
- What is AI
- What are Ethics, Governance and Compliance- An Introduction
- AI Ethics
- Introduction- Understanding AI Ethics
- Stakeholders in AI Ethics
- Principles of beneficence and non- maleficence
- Discussion on Accountability
- Ethical AI Frameworks
- Property of the System- Transparency
- AI and Human rights
- Non discrimination
- Ethics in practice
- Common ethical issues in AI
Module 2 - AI Governance
- AI Governance
- What is AI Governance?
- Need for AI Governance
- Building blocks and Key components of AI Governance
- Approach to AI Governance
- Implementing AI Governance
- Developing a Compliance program
- Model of AI Governance
- AI governance frameworks
- AI Governance toolkit
- Best Practices
- Measuring Governance and Compliance Effectiveness
- The path ahead- Future of AI Governance
- Current Trends
- Overcoming AI Governance challenges
- Synthesizing AI Governance into Action
Module 3 - AI Compliance
- AI Compliance
- Understanding AI Compliance
- Importance of AI Compliance
- Keys Aspects of AI compliance
- Ensuring AI Compliance
- Risk Management in AI
- Type of AI Risks
- Assessing AI risks
- Risk mitigation techniques
- AI Risk management in Action
- Building a Risk Management framework
Who is this course for?
Why? They need to understand ethical considerations and compliance requirements to design AI systems that are fair, transparent, and accountable.
Focus: Ethical AI design, bias mitigation, and technical compliance with regulations.
Why? They work with data that can introduce biases or ethical concerns, and they need to ensure their models adhere to ethical standards.
Focus: Data privacy, fairness in algorithms, and ethical data usage.
Why? They are responsible for ensuring that AI initiatives align with organizational values, legal requirements, and societal expectations.
Focus: Governance frameworks, risk management, and corporate social responsibility in AI.
Why? They need to navigate the evolving landscape of AI-related laws and regulations to ensure organizational compliance.
Focus: Regulatory frameworks, data protection laws (e.g., GDPR), and AI-specific compliance standards.
Why? They create and enforce policies that govern the ethical use of AI technologies.
Focus: Ethical guidelines, policy development, and global AI governance standards.
Why? They ensure that AI systems align with ethical principles and societal values.
Focus: Ethical frameworks, stakeholder engagement, and accountability mechanisms.
Why? They explore the theoretical and practical implications of AI ethics and contribute to the development of best practices.
Focus: Interdisciplinary research, ethical theories, and case studies.
Why? They are the future workforce and need to be equipped with knowledge about ethical AI practices.
Focus: Foundational concepts, real-world applications, and career preparation.
Why? They may interact with AI systems or make decisions about their use and need to understand the ethical and governance implications.
Focus: High-level overviews, ethical decision-making, and societal impact.
Requirements
Passion & determination to achieve your goals!
Career path
- AI Ethics Officer
- AI Compliance Specialist
- AI Governance Manager
- Data Privacy Officer
- Artificial Intelligence Engineer
- Data Scientist
- Machine Learning Engineer
- Responsible AI Consultant
- AI Risk Management Analyst
- AI Policy Advisor
- Ethics and Compliance Analyst
- AI Regulatory Affairs Specialist
- AI and Data Ethics Researcher
- AI Product Owner / Manager
- AI Marketing Specialist
- Data Governance Manager
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Provider
Uplatz is leading global provider of IT & Technology training.
We have a strong network of qualified and experienced tutors. Uplatz provides training on cutting-edge technologies such as Data Science, Machine Learning, AWS, Microsoft Azure, Google Cloud, IBM Cloud, Data Engineering, Python, R, Java, SAP, Oracle, SAS, Salesforce, Web Development Stack, JavaScript, ReactJS, AngularJS, NodeJS, JSP & Java Servlets, MongoDB, BI Tools such as Tableau, Spotfire, Power BI, DW & ETL tools such as Informatica, IBM DataStage, Talend, DevOps, Project Management, Software Testing, and many more.
We provide training courses in both online formats - 1) live tutor-led, 2) self-paced videos
We feel proud to say that we are making learning affordable by keeping prices of all our courses very low. Our course prices are listed at almost 90% discounted rate from average market price.
Our Vision
- To become a global leader in the learning sector by providing training on job-oriented technologies
Our Mission
- To provide high-quality training on industry-demanded technologies
- To make learning affordable for the masses by keeping our prices extremely low
- To help our talented students get a high-paying job in the market
Will I get a Certificate of Course Completion?
Course Completion Certificate is awarded by Uplatz
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Will I be provided study material, tutor notes and practice assignments?
Uplatz provides tutor notes, practice assignments, practice sessions, and a lot of useful study material for free. This will help you in job interviews and certification exams.
In case of tutor-led online training, will I have access to the recorded sessions?
Yes. All live classes get recorded and life-time access on the recordings is provided.
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Just contact us for a customized quote, your preferable timings, your affordability, and we'll work out the best course for you that will provide you not only a great return on investment but also to help you get a job with a premium salary. We'll also get you prepared for the certification exams.
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
