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No sector or industry is left untouched by the revolutionary Artificial Intelligence (AI) and its capabilities.
But first, lets look at the Ethics Guidelines the EU formed in 2019 for trustworthy AI.
Moreover, individuals can also sense a loss of control with AI models decisions based on their algorithms.
Similarly, many AI experts and researchers are concerned about AI capabilities and ethics.
Lets look at these concerns in more detail.
Generative AI systems can generate harmful content intentionally or unintentionally due to reasons like AI hallucinations.
Lack of Transparency and Explainability
Transparency is one of the core principles of ethical AI.
This is particularly a significant concern for high-stakes applications and software.
While its an overlooked factor of ethical AI, ensuring eco-friendliness is necessary for sustainable and energy-efficient data models.
This is because the decisions are majorly driven by AI algorithms instead of human judgment.
Moreover, generative AI models also sometimes lead to a loss of professional autonomy.
How to Mitigate Ethical Concerns With Generative AI?
This helps trace the generated contents origin and identify potential unauthorized use or tampering of the content.
Moreover, using established frameworks like theAI Risk Management Frameworkor theEUs Ethics Guideline for Trustworthy AIhelps avoid data misuse.
Hence, organizations must perform regular AI assessments and audits to avoid risks of ethical concerns.
