Solutions to a Case Study on AI Ethics: Bias and discrimination of AI-enabled predictive analytics.

Topic: Bias and discrimination of AI-enabled predictive analytics.

Starting with the detailed investigation on the selected topic with respect to impactsand risks in the concerned area (not including general descriptions about AI and AIethics, neither a comprehensive literature as being done in Assignment-1), the reportshould compare the current practice against the required regulations (in students’own opinions) and differences among the related legislations in different countries,regions, and organisations. Students should then explain and justify the requiredregulations they proposed and provide further details of the solutions, which couldinclude international cooperation, dialogue between governments, communities andrelated stakeholders, and the feasible measures to avoid bias, discrimination, andunfairness, ensure transparency and accountability, protect privacy and other humanrights, and increase people’s trust and support to the development and deploymentof new AI technologies, to name a few. The proposed solutions should be supportedby the case study carried out in the assignment using real-world events.Students should present their research report including the case study in a singleWORD file within a length of about 2000 words (excluding the title/subtitles, tables,figures, and bibliography)

REFERENCES

Artificial Intelligence: Australia’s Ethics Framework (A Discussion Paper)

General Data Protection Regulation GDPR

https://gdpr-info.eu/

Ethics guidelines for trustworthy AI

https://digital-strategy.ec.europa.eu/en/library/e…