Professionalism in Practice: Privacy

Flashcards about Professionalism in Practice: Privacy

What are the learning objectives of the lecture?

Explain privacy, evaluate regulatory frameworks, identify privacy risks, discuss arguments around privacy, and reflect on personal views.

According to Solove, what are some examples of privacy invasion?

Disclosure of secrets, being watched, blackmail, improper use of data, and government compiling dossiers.

What is the deontological perspective on privacy?

Privacy as a fundamental right, not to be infringed upon.

What is the utilitarian perspective on privacy?

Balancing individual privacy vs. societal benefits.

What is the definition of the Privacy Paradox?

People disclose personal info in ways inconsistent with the high value they claim to place on privacy.

What are potential explanations for the Privacy Paradox?

Rational ignorance, transparency paradox, control paradox, disincentivized to protect privacy.

Who are the key players in the Cambridge Analytica Scandal?

Cambridge Analytica, Facebook, and Aleksandr Kogan.

How did the Cambridge Analytica data misuse occur?

Through Kogan's app collecting data and sharing it with Cambridge Analytica for targeted political ads.

Why are privacy regulations necessary?

To protect fundamental rights, provide guidelines for ethical data usage, and foster innovation by establishing trust.

What are the key facts about GDPR?

Introduced in 2016, enforced in 2018, applies to organizations handling data of EU citizens, regardless of location.

What are the criticisms of GDPR?

High compliance costs and unclear guidelines for SMEs.

What does the EU Artificial Intelligence Act do?

Classifies AI systems by risk and encourages transparency and accountability.

What is the sectoral approach to privacy in the US?

Using laws like HIPAA (healthcare) and COPPA (children) instead of unified federal privacy law.

What are the unique challenges posed by autonomous systems to privacy in AI and Robotics:

Continuous data collection via sensors and need for real-time decision-making.

What are the primary risks related to how robots collect and use data?

Unauthorized access or data breaches, lack of transparency in AI algorithms (black-box problem), Bias in AI leading to unfair outcomes, Ethical concerns in surveillance applications

What are privacy-preserving technologies?

Federated Learning, Differential Privacy, and Encryption.

What is federated learning?

Training AI models locally to avoid raw data transfer.

What is differential privacy?

Adding noise to datasets to anonymize individual data.

What is encryption?

Converting data into an unreadable format (ciphertext) that can only be accessed with a decryption key.

What are some new frontiers of privacy concerns?

Generative AI, Biometric Data, Neurotechnology, Consent Fatigue, and Rapid Tech Evolution.

What are Solove's counterpoints to the "Nothing to hide" argument?

Aggregation, Distortion, and Exploitation.

According to Solove, what are the various ways to think about privacy?

Privacy as control, Privacy as autonomy, and Privacy as dignity.

What is hopeful trust?

People trust systems even when privacy is violated.

What are user-centric privacy tips?

Use strong passwords, review app permissions, limit oversharing, use HTTPS, and consider privacy-focused tools.

What are the key takeaways from the lecture?

Privacy is multifaceted, new tech magnifies privacy dilemmas, existing regulations are necessary, and everyone plays a role in shaping the future of privacy.