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Week 2 Blog 2 - Ethical and Privacy Concerns Regarding The Advancement of AI Technology

     As AI gains more and more depth in both its systems and knowledgebase, it is beginning to become more and more clear that the information being processed by these systems contains sensitive information. If this information were to be obtained through AI and used for malicious purposes, it could spell disaster amongst the general public. The masses would be afraid of AI's capabilities to search vast arrays of databases to find sensitive information. As a result, it must be said that there needs to be some regulations into what AI can and cannot do in order to prevent such a causality. 

    In my previous blogpost, entitled Similarities Between AI and The Internet I asked ChatGPT to list some similarities between the two. After letting the newly created chatbot to do its magic, I came across a point that resonated with the idea of regulations needed to be placed on AI technologies. I gave ChatGPT the following prompt "Go into further detail regarding Ethical and Privacy Considerations. What types of careful regulation and ethical considerations should be made?" The following is what ChatGPT has to say in response.

    Ethical and privacy considerations surrounding the internet and AI are of critical importance as these technologies continue to evolve and impact our lives. Here are some key areas that require careful regulation and ethical considerations:

    Data Privacy: With the proliferation of the internet and AI, vast amounts of personal data are being collected, stored, and analyzed. It is crucial to establish robust data privacy regulations to protect individuals' personal information, including sensitive data such as health records, financial details, and biometric data. Adequate safeguards, consent mechanisms, and transparency in data collection and usage should be enforced to ensure individuals have control over their data and are aware of how it is being utilized.

    Algorithmic Bias: AI systems, particularly machine learning algorithms, learn from historical data, which can lead to biased outcomes. Careful attention must be given to ensuring that biases based on factors such as race, gender, or socioeconomic status are not perpetuated or amplified by AI systems. Developers and policymakers should strive to develop and deploy algorithms that are fair, transparent, and accountable, while actively addressing and mitigating biases in data and algorithmic decision-making.

    Accountability and Transparency: As AI systems become more complex and autonomous, it becomes crucial to establish accountability frameworks. Organizations and developers should be held responsible for the actions and decisions made by AI systems under their control. Ensuring transparency in AI systems' functioning, including their decision-making processes and underlying algorithms, can help build trust and enable individuals to understand and challenge outcomes.

    Ethical and privacy considerations should be an integral part of the development, deployment, and governance of the internet and AI. By proactively addressing these issues, we can strive to create a technology-driven future that respects privacy, upholds ethical principles, and benefits society as a whole.

Clearly, there are a multitude of factors that must be analyzed when creating these types of regulations. However, it is a necessary process that must take place in order to have a high functioning AI tool become a part of everyday society.

Tayseer

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