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Course Outline
Foundations of Responsible AI
- Understanding what responsible AI entails and its importance in software development.
- Core principles: fairness, accountability, transparency, and privacy.
- Case studies of ethical failures and instances of AI misuse within codebases.
Bias and Fairness in AI-Generated Code
- Mechanisms by which LLMs may reinforce bias through their training data.
- Techniques for detecting and remediating biased or unsafe code suggestions.
- The phenomenon of AI hallucination and the associated risks of introducing errors at scale.
Licensing, Attribution, and IP Considerations
- Grasping open-source licenses such as MIT, GPL, and Copyleft.
- Determining whether LLM-generated outputs require attribution.
- Auditing AI-assisted code to identify potential third-party licensing issues.
Security and Compliance in AI-Assisted Development
- Ensuring code safety by avoiding insecure patterns commonly suggested by LLMs.
- Adhering to internal security guidelines and relevant industry regulations.
- Maintaining auditable documentation for AI-assisted decision-making processes.
Policy and Governance for Development Teams
- Developing internal AI usage policies specifically for software teams.
- Defining acceptable use cases and identifying red flags.
- Strategies for tool selection and the responsible onboarding of AI assistants.
Evaluating and Auditing AI Output
- Utilizing checklists to assess the trustworthiness of generated content.
- Conducting both manual and automated reviews of AI-generated code.
- Implementing best practices for peer-review and sign-off procedures.
Summary and Next Steps
Requirements
- A fundamental understanding of software development workflows.
- Familiarity with Agile, DevOps methodologies, or general software project practices.
Audience
- Compliance teams.
- Developers.
- Software project managers.
7 Hours
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
