Your analysis of facial recognition technology (FRT) and its ethical implications is comprehensive and well-structured. Here’s a summary and expansion on the key points you've made, along with additional considerations:

### Privacy and Consent

**Expanded Concerns:**
- **Surveillance State:** The potential for FRT to facilitate mass surveillance raises alarms about the erosion of civil liberties. The normalization of such technologies can lead to a society where individuals are constantly monitored, affecting behavior and freedom of expression.
- **Informed Consent:** The challenge of obtaining informed consent is significant, particularly in public spaces. Many individuals may not fully understand how their facial data is being used or the implications of its collection.

**Additional Case Study:**
- **London's Use of FRT:** The deployment of facial recognition cameras in London has sparked protests and legal challenges. Critics argue that it violates privacy rights and lacks transparency, highlighting the need for clear policies and public engagement in the decision-making process.

### Algorithmic Bias

**Expanded Concerns:**
- **Impact on Marginalized Communities:** The consequences of algorithmic bias extend beyond erroneous identification; they can lead to systemic discrimination, affecting access to services, law enforcement interactions, and social equity.
- **Transparency in Algorithms:** The opacity of proprietary algorithms makes it difficult to assess and address biases, necessitating greater transparency and accountability from tech companies.

**Additional Case Study:**
- **Amazon's Rekognition:** Amazon faced criticism when its facial recognition software, Rekognition, was found to misidentify members of Congress, particularly women and people of color. This prompted calls for a moratorium on its use by law enforcement agencies.

### Legal and Ethical Frameworks

**Expanded Concerns:**
- **Global Disparities:** Different countries have varying approaches to regulating FRT, leading to inconsistencies in protections for citizens. International cooperation may be necessary to establish baseline standards.
- **Ethical AI Development:** Engaging ethicists, sociologists, and affected communities in the development process of FRT can help ensure that diverse perspectives are considered.

**Additional Case Study:**
- **European Union's AI Act:** The EU has proposed regulations that classify FRT as high-risk, requiring strict compliance with privacy and data protection standards. This proactive approach aims to mitigate risks before they become widespread.

### Industry Response

**Expanded Considerations:**
- **Corporate Responsibility:** Companies developing FRT must take proactive steps to address ethical concerns, including conducting impact assessments and engaging with stakeholders.
- **Public Trust:** Building public trust through transparency, ethical practices, and community engagement is essential for the sustainable deployment of FRT.

### Conclusion

The integration of facial recognition technology into society presents both opportunities and challenges. As you noted, fostering a collaborative approach that includes diverse stakeholders—such as technologists, ethicists, policymakers, and the communities most affected—will be crucial in navigating the ethical landscape. Continuous dialogue, research, and legislative action are necessary to ensure that the deployment of FRT aligns with societal values and human rights. 

Addressing these ethical challenges head-on can help shape a future where technology serves the public good without compromising individual rights and freedoms.