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- Dr Rumman Chowdhury's introduction.
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Classroom Contents
How Developers Are Hacking AI to Shape the Future of Humanity
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- 1 - Dr Rumman Chowdhury's introduction.
- 2 - Accessibility and design of AI systems, particularly in the context of chat GPT.
- 3 - Recurrence of bias in AI discussions since 2017.
- 4 - Importance of maintaining an open culture in technology development.
- 5 - Concept of moral outsourcing and its impact on the perception of AI technology.
- 6 - Implementation of regulations and standards for AI development.
- 7 - Definition and role of algorithmic audits and auditors.
- 8 - Importance of creating standards and a community consensus for algorithmic auditing and assessment.
- 9 - First algorithmic bias bounty launched at Twitter in 2021.
- 10 - Importance of public engagement and structured public feedback in AI model development.
- 11 - Role of generative AI in no-code bias bounty programs.
- 12 - Significance of red teaming in AI security and the need for diverse expertise.
- 13 - Twitter's efforts to mitigate biases related to race and gender.
- 14 - Key statistics from the Defcon exercise, including challenges to test AI systems and data collected.
- 15 - Challenges during the Defcon exercise, such as prompt injections and multilingual inconsistencies.
- 16 - Plans for policy paper publication, data sharing, and open-source evaluation platform initiatives from the Humane Intelligence organization.
- 17 - The need for human oversight to ensure ethical use of AI systems.
- 18 - Fine-tuning AI models for specific use cases.
- 19 - Importance of ethical frameworks and principles to guide AI development.
- 20 - The NIST AI risk management framework.
- 21 - Methods and metrics for identifying and mitigating bias in AI algorithms.
- 22 - Enhancing the explainability and transparency of AI models.
- 23 - Software developers engaging with users to solve real-world problems effectively.
