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These systems possess the capability to learn and make decisions autonomously, reducing the need for
human intervention.

u Autonomous Decision-Making in Transportation
Tools in semi-autonomous vehicles predict and inform drivers about upcoming congestion or highway
construction.

While enhancing efficiency, these systems raise concerns about their impact on people’s lives and safety.
u Biometrics in Organizations
AI-enabled systems such as biometrics are employed in organizations for managing entry and attendance
by collecting facial and demographic data.
The use of such data raises ethical questions regarding privacy and consent.

u Healthcare Industry Advancements
AI machines are adopted in healthcare to improve productivity, enhance patient care, and expedite
diagnoses.

The ethical implications revolve around data security, potential biases, and responsible use of patient
information.

u Productivity vs Privacy Balance
The main goal of AI implementation is productivity improvement, but it poses a challenge to maintaining
privacy rights.
Balancing the benefits of AI with the protection of individual rights is a critical ethical consideration.

u Concerns in Data Collection
The collection of extensive data for AI analysis raises questions about the transparency of data usage and
the potential for misuse.

Safeguarding against unauthorized access and ensuring data protection become paramount.
u Impact on Employment
AI’s ability to automate tasks raises concerns about job displacement and the ethical responsibility of
organizations in managing workforce transitions.
Ethical considerations involve mitigating negative impacts on employees affected by AI-driven changes.

u Need for Ethical Guidelines
Establishing clear ethical guidelines for development, deployment, and use of AI is crucial.
Ethical considerations should be integrated into AI policies to address potential risks and ensure responsible
AI practices.
u Continuous Monitoring and Regulation
Regular monitoring and regulatory measures are necessary to keep pace with the evolving AI landscape.
Ethical oversight and compliance frameworks will help ensure that AI systems align with societal values and
norms.

NAVIGATING AI BIAS

In the world of artificial intelligence, it is important to make sure that the machines treat everyone equally.
Smart systems, like digital wizards, can accidentally learn unfair stuff from the data they use. It is called as ‘‘AI
Bias’’. There is a lot to understand in AI ethics. Let’s first learn types of AI Biases.

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