Responsible Creation of Artificial Intelligence
- Offered bySalesforce
Responsible Creation of Artificial Intelligence at Salesforce Overview
Responsible Creation of Artificial Intelligence
at Salesforce
Remove bias from your data and algorithms to create ethical AI systems at your company
Duration | 1 hour |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Responsible Creation of Artificial Intelligence at Salesforce Highlights
Responsible Creation of Artificial Intelligence
at Salesforce
- Earn a certification after completion
Responsible Creation of Artificial Intelligence at Salesforce Course details
Responsible Creation of Artificial Intelligence
at Salesforce
Skills you will learn
Who should do this course?
- AI developers, engineers, researchers, policymakers, industry leaders, ethicists, regulatory bodies, and the broader public interested in understanding and contributing to the ethical and safe development of AI technologies
What are the course deliverables?
- Understand the ethical principles underlying responsible AI creation, including transparency, fairness, accountability, and safety
- Identify potential risks and ethical dilemmas associated with AI development and deployment
- Apply frameworks and guidelines for designing and developing AI systems that prioritize ethical considerations and mitigate risks
- Evaluate the societal impact of AI technologies and propose strategies for addressing potential harms and biases
More about this course
- Responsible creation of artificial intelligence involves ethically designing and developing AI systems that prioritize safety, transparency, fairness, and accountability
- It encompasses rigorous testing, robust oversight, and continuous evaluation to mitigate risks of unintended consequences while fostering innovation for the betterment of society
Responsible Creation of Artificial Intelligence at Salesforce Curriculum
Responsible Creation of Artificial Intelligence
at Salesforce
Understand the Ethical Use of Technology
Define bias and fairness
Build a diverse team to avoid bias and gaps
Recognize Bias in Artificial Intelligence
Describe the role of data in developing an AI system
Understand the difference between what is ethical and what is legal
Remove Bias from Your Data and Algorithms
Identify factors that are excluded from or overrepresented in your dataset
Explain the benefit of holding premortems to reduce interaction bias
Create Responsible Generative AI
List the five principles for the responsible development of generative AI
Identify trusted generative AI features in the Salesforce product
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Responsible Creation of Artificial Intelligence
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