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Price:
$995.00
Days:
1
Virtual
• Understand the ethical considerations in AI: Gain knowledge of the ethical implications of AI technologies and their impact on society.
• Evaluate societal impacts: Examine the societal consequences of AI technologies and develop strategies for assessing their social and ethical impact.
• Mitigate bias and ensure fairness: Explore biases in data and algorithms, and learn strategies to mitigate bias and ensure fairness in AI systems.
• Ensure transparency and explainability: Understand the importance of transparency in AI systems and learn techniques for explaining AI models to diverse stakeholders.
• Address privacy, security, accountability, and legal issues: Analyze privacy and security concerns in AI, understand concepts of accountability, and become familiar with relevant legal and regulatory frameworks, aiming to develop ethically aligned AI systems compliant with global standards.
• Strong programming skills in languages such as Python, Java, or C++
• Proficiency in machine learning frameworks like TensorFlow or PyTorch
• Understanding of algorithms and data structures
• Experience with data preprocessing and data analysis
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)
• Knowledge of AI and machine learning concepts and techniques
• Ability to work with large datasets and databases
• Strong problem-solving skills and analytical thinking
• Good communication skills for collaboration with cross-functional teams
• Continuous learning mindset to keep up with AI advancements
– Overview of AI Ethics & Societal Impact
• Introduction to Ethical Considerations in AI
• Understanding The Societal Impact of AI Technologies
• Strategies for Conducting Social and Ethical Impact Assessments
– Bias and Fairness in AI
• Exploration of Biases in Data and Algorithms
• Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
– Transparency and Explainable AI
• Importance of Transparent AI Systems
• Techniques for Explaining AI Models to Diverse Stakeholders
• Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
– Privacy and Security Issues in AI
• Examination of Privacy Concerns Related to AI
• Strategies for Ensuring the Security of AI Systems and Data
– Accountability and Responsibility
• Concepts of Accountability in AI Development and Deployment
• Responsibilities of AI Practitioners and Organizations
– Legal and Regulatory Issues
• Overview of Relevant Laws and Regulations Pertaining to AI
• Understanding the Global Regulatory Issues for AI Technologies
• Case Studies
• Legal Compliance of AI Tools
– Ethical Decision-Making Frameworks
• Introduction to Frameworks for Making Ethical Decisions in AI
• Case Studies and Applications of Ethical Decision-Making
• Use of Simulation Platforms in Ethical Decision-Making
– AI Governance & Best Practices
• Principles and Functions of International AI Governance
• Best Practices for Integrating AI Ethics into Organizational Policies
• Case Studies on AI Governance
– Global AI Ethics Standards
• Explore Standards like IEEE’s Ethically Aligned Design
• Comparative Case Studies on Standard Implementations
• Tools for Evaluating AI Systems Against Global Standards
Support Diversity, Equity, and Inclusion with Every Purchase.
Great Horizons is a North Carolina Certified HUB Vendor and WOSB. By becoming a patron of our organization, you are not only supporting a historically underutilized business, but a woman-owned small business as well.
Give your organization the skills edge it needs. Our corporate training experts will work with you to design, deliver, and support a customized IT program that drives real business results.
4000 Centregreen Way
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Cary, NC 27513