Learn about the ethical, governance, security and compliance considerations of AI with this free online course. The complexity of Artificial Intelligence (AI) demands a thorough examination of its impact on society. This course explores the key laws, frameworks, and procedures that govern AI, while addressing the ethical challenges crucial for building reliable AI systems. You will also discover effective strategies to ensure AI systems are protected against data breaches. Enroll today to gain an understanding of AI ethics, governance, and security.
| College | Alison |
| Course ID | 192180 |
| Course Type | Online Learning |
| Course Qualification | CPD Certificate |
| Course Duration | 3-4 hours |
| Course Fee | Free |
| Entry Requirements | Like all courses on the Alison Free Learning platform this is a free, CPD-accredited course. A Graduate can choose to buy a certificate or diploma upon successful completion of a course, but this is not required or necessary. At Alison we believe that free education, more than anything, has the power to break through boundaries and transform lives. Alison is the world’s largest free online empowerment platform for education and skills training, offering over 5000 CPD accredited courses and a range of impactful career development tools. It is a for-profit social enterprise dedicated to making it possible for anyone, to study anything, anywhere, at any time, for free online, at any subject level. Through our mission, we are a catalyst for positive social change, creating opportunity, prosperity, and equality for everyone. |
| Career Path | In This Free Course, You Will Learn How To • Discuss the transformative impact of artificial intelligence • Identify ethical concerns in AI bias and fairness • Recognize ethical AI governance and considerations • Describe the challenges and solutions in AI and data usage • Explain the ethical considerations in AI data privacy and settings • Outline effective data privacy and security measures • Identify the challenges in addressing AI bias, algorithmic bias in AI systems, and challenges in deployment • Explain the importance of diversity in AI research and development • Recognize the importance of interdisciplinary collaboration in AI bias and fairness • Identify regulatory and compliance issues in AI implementation • Analyze the ethical considerations in AI deployment in healthcare • Analyze case studies where AI has been used to improve operations, noting key factors for successful deployment |
| Course Code | 1070 |
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