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AI Safety | Digital Moran Academy
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AI Safety

AI Safety

33 Students
3 Lectures
Digital Moran
Digital Moran

Instructor

What Will You Learn?

Principles of AI Safety: Understand the core concepts and importance of safety in AI development, including reliability, robustness, and ethical considerations.
Risk Identification: Learn to identify and assess potential risks associated with AI systems, such as bias, security vulnerabilities, and unintended consequences.
Mitigation Strategies: Explore techniques and best practices for mitigating AI risks, including model validation, robustness testing, and bias correction.
Ethical and Social Implications: Examine the broader ethical and societal impacts of AI, including privacy concerns, fairness, and the implications of AI decision-making.
Adversarial Attacks: Gain insights into common adversarial threats and attacks on AI systems, and learn strategies to defend against them.
Regulatory and Compliance Issues: Understand current regulations and standards for AI safety, and learn how to ensure compliance with relevant guidelines and frameworks.

About This Course

"AI Safety" is a specialized course focused on understanding and addressing the risks and challenges associated with artificial intelligence systems. This course explores the fundamental principles of AI safety, including strategies for ensuring robust and ethical AI development. Participants will examine potential safety concerns such as algorithmic bias, adversarial attacks, and the broader impact of AI on society. Through case studies, theoretical discussions, and practical exercises, learners will acquire the knowledge and skills necessary to design and implement safe and responsible AI systems.


Requirements

Prerequisites: Basic knowledge of AI and machine learning concepts is recommended, though not required. Familiarity with programming and statistics can be helpful.
Materials Needed: A computer with internet access and access to online course materials. Specific tools or software required for practical exercises will be detailed at the start of the course.
Software Requirements: Participants should have a web browser and may need to install specific tools or libraries for hands-on activities, with guidance provided as necessary.
Course Structure: The course includes lectures, case studies, and practical exercises designed to apply AI safety concepts. Active participation and engagement in discussions and activities are essential.
Assignments: Regular assignments and projects will focus on identifying and mitigating AI risks, with feedback provided to support learning and practical application of safety principles.
Requirements
Digital Moran
Digital Moran
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44 Courses
1768 Students
Digital Moran is a community-based talent incubator and grassroots tech movement. It is dedicated to empowering rural and underprivileged youth in Kenya by providing free, accessible digital skills training. The organization's mission is to challenge the belief that success can only be found in the city. It provides a direct path from learning to earning by equipping youth with high-value digital skills in areas like web design, graphic design, digital marketing, and AI. Digital Moran operates on a "tools, not handouts" philosophy. It consists of two main parts: the Digital Moran Academy, a free online learning hub with over 50 courses, and the Digital Moran Agency, an exclusive marketplace that ...
Digital Moran
Curriculum Overview

This course includes 1 modules, 3 lessons, and 0 hours of materials.

AI Safety
3 Parts
Full Course by Safe.AI Founder on Machine Learning & Ethics (Center for AI Safety)
Free
Volume -
Intro Video
Free
Volume -
Outro Video
Free
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AI Safety
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Course Specifications

Sections
1
Lessons
3
Capacity
Unlimited
Duration
8:35 Hours
Students
33
Created Date
11 Aug 2024
Updated Date
23 Feb 2025
Digital Moran
Digital Moran

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AI Safety
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AI Safety