| University | Singapore University of Social Science (SUSS) |
| Subject | BUS375 Artificial Intelligence for Social Good |
Questions 1
In rigorous testing on the SWE-bench coding benchmark, Devin demonstrated unparalleled performance, resolving real-world software issues with remarkable accuracy. With an end-toend issue resolution rate of 13.86%, Devin surpasses previous state-of-the-art models by a significant margin, showcasing its unmatched capabilities in the field (Cognition Labs, 2023).
Reference: Cognition Labs. (2023). Cognition Labs launch Devin, the world’s first AI software engineer. Blockchain Council. https://www.blockchain council.org/news/cognition-labslaunch-devin-the-worlds-first-ai-software-engineer/
(a) Contrast human engineers and Devin and identify whether human engineers or Devin are more suitable for resolving software issues.
(b) Inspect the decision-making structure for Devin in the current stage, and appraise if this structure works and provide reasons. If you consider this structure does not work, please suggest a feasible structure and justify your suggestion.
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Question 2
(a) Among the following different social good domains, select one (1) domain and examine how Devin can potentially be integrated into this domain and help resolve three (3) issues within this domain. Please provide relevant arguments and examples.
(b) Conduct deep research and formulate an assessment of whether Devin will augment or replace human engineers, supporting your stance with three (3) compelling arguments and/or examples.
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