Our "Ask INDIAai" series will address and explore your problems. INDIAai will react to your inquiries.

Please direct all inquiries to askindiaai@nasscom.in.

How can individuals learn more about AI and its implications for society? - Murugan Adimai, Mumbai

Individuals can learn more about AI and its consequences for society by taking online courses, reading books, attending workshops, participating in AI projects, joining AI communities, following AI researchers, investigating AI ethics and policy, and staying updated from credible sources.

How is AI used in autonomous vehicles, and what are the challenges in implementing this technology? - Vel Maaral, Hyderabad.

Autonomous vehicles use AI to observe their surroundings, make driving judgments, and control vehicle motions. The challenges include guaranteeing safety and reliability, resolving ethical and legal concerns, dealing with complex real-world settings, and obtaining regulatory permission.

How do AI-powered recommendation systems work, and what are the implications for privacy? - Thirupugal, Kochi

AI-powered recommendation systems examine user data to forecast preferences and recommend appropriate content or items. Concerns concerning data collecting, profiling, and potential exploitation of personal information have privacy implications, such as privacy breaches or invasive targeting.

How does AI contribute to improving accessibility for people with disabilities? - Siruvapuri Subramanian, Mangalore.

AI helps to improve accessibility for persons with disabilities by enabling advances like speech recognition, natural language processing, computer vision, and assistive technology. These improvements allow people with impairments to access information, communicate, manage their surroundings, and participate more completely in society.

Can AI be biased, and how can bias be mitigated in AI systems? - Mubeen Ahmed, Delhi

Some facts or algorithms can make AI biased, so yes, AI can be biased. AI systems can be less biased by collecting data carefully, preparing it, designing algorithms well, and always keeping an eye on them. Diversity in model training, fairness-aware algorithms, and bias detection can reduce AI bias.

Can AI systems be hacked or manipulated, and what are the cybersecurity implications? - Vaithya Veeraragavan, Ahmedabad.

AI systems can be hacked or manipulated, leading to various cybersecurity implications. Attacks on AI systems include data poisoning, adversarial attacks, model inversion, and evasion attacks. The consequences of such attacks can range from compromised data integrity and privacy breaches to malicious manipulation of AI-powered systems, potentially leading to real-world harm or exploitation.

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