Introduction

This artifact presents a deep dive ethical case analysis of Clearview AI’s facial recognition practices, focusing on its unauthorized image scraping, algorithmic bias, and lack of transparency. It was developed as part of a critical thinking module on real-world AI incidents. 

Description

This artifact explores the ethical controversy surrounding Clearview AI’s facial recognition technology. It examines core privacy invasion issues, algorithmic bias, and lack of transparency. The case highlights the real-world risks of deploying AI without ethical safeguards. It includes visual summaries and a personal reflection on moral responsibility in AI.

Objective

To evaluate the ethical implications of biometric surveillance technologies and apply ethical reasoning frameworks to propose actionable solutions in AI governance.

Process

The analysis followed a structured format:

• Background research using AI incident databases and news articles.

• Identification of three key ethical issues.

• Articulation of thought processes, stakeholder impacts, and mitigation strategies.

• Personal reflection to document evolving perspectives.

Tools and Technologies Used

ChatGPT-4o (for summarization, visual aids, restructuring), MS Word / Google Docs, Generative AI imagery (for ethical theme visual)

Value Proposition

This artifact showcases the learner’s ability to evaluate controversial AI applications critically, understand societal impact, and recommend responsible AI practices. It strengthens their profile as an ethically conscious AI professional. 

Unique Value

Goes beyond analysis by offering practical governance strategies and personal learning insights, emphasizing a human-first approach in AI development.

Relevance

Highly relevant in today’s climate of AI regulation, it demonstrates readiness to contribute ethically to AI projects involving surveillance, privacy, and algorithmic fairness.

References

• Amnesty International (2021)

• Hill, K. (2020)

• Responsible AI Collaborative (2021)