Which three key ethical concerns in AI are highlighted in the presentation?

The focus on privacy, security, and bias as key ethical concerns in artificial intelligence is particularly relevant in today’s digital landscape.

Privacy pertains to the collection, storage, and use of personal data by AI systems. With the increasing capability of AI to analyze large sets of data, there is a significant concern regarding how personal information is acquired and whether individuals' privacy is respected. The ethical implications of violating privacy can lead to severe consequences for individuals and society.

Security involves protecting data from unauthorized access and ensuring that AI systems are resilient against attacks. AI technologies can be employed for malicious purposes, hence it is crucial to consider how these systems can be secured to prevent data breaches or misuse that could endanger individuals or organizations.

Bias centers around the fairness of AI systems and the potential for perpetuating discrimination. AI algorithms are trained on data, and if this data contains inherent bias, the AI can produce results that are unfair or prejudiced against certain groups. Addressing bias is essential to develop AI systems that are equitable and just.

Highlighting these three concerns underlines the importance of ethical considerations in the development and deployment of AI technologies. This understanding is vital for those involved in AI, as addressing these issues is key to fostering responsible innovation and ensuring societal trust in