Privacidad, principios y valores fundamentales
Ethics in Artificial Intelligence: Privacy as a Fundamental Value
Understanding Privacy in AI
- The video introduces the topic of privacy within the context of ethics in artificial intelligence, emphasizing its importance as a fundamental value that safeguards individual autonomy against data misuse.
- Privacy is defined as the right to control personal information, including who can access it and for what purposes. This concept is closely linked to autonomy, freedom, and dignity.
Case Studies on Data Collection
- During the COVID-19 pandemic, governments implemented contact tracing apps (e.g., Arogasetu in India and Ali Code in China), which collected sensitive data such as location and medical history to manage health risks.
- Research from institutions like Brookings and Human Rights Watch highlighted concerns regarding these apps' lack of transparency about data handling practices and insufficient options for users to delete their data or withdraw consent.
Ethical Implications of Data Use
- The ethical debate centers around balancing innovation with control; mass data collection without consent reduces individuals to mere objects for analysis rather than respecting their autonomy.
- Ethical privacy standards demand informed consent, minimization of data collection, and transparency regarding how personal information is used. Users should have rights to revoke permissions and access their own data.
Social Trust and Legitimacy
- From a societal perspective, privacy fosters citizen trust. Without it, even well-intentioned projects may fail due to perceived illegitimacy.
In summary, privacy is not just a legal issue but an ethical imperative that underpins human dignity and social trust in the age of big data.