In this era of technology, Artificial Intelligence (AI) stand as the pillar of innovation, driving changes across all industries and even society as a whole. As we look into the future, it’s essential to notice the emerging trends in AI shaping the trajectory of our world. These trends are paving the way for new possibilities and advancements in all aspects of life.

1. PRESENTS……

2. Emerging Trends in AI and data science
• In this era of technology, Artificial Intelligence (AI) stand as the pillar of innovation, driving
changes across all industries and even society as a whole. As we look into the future, it’s
essential to notice the emerging trends in AI shaping the trajectory of our world. These
trends are paving the way for new possibilities and advancements in all aspects of life.
• After a decade, we might not even recognize our current lifestyles. The jump to an AI-relied
world is just around the corner. So, let’s keep ourselves updated and learn about these
emerging trends in AI. Further, let’s explore their implications and potential impact on our
world.
Emerging Trends in AI
• Ethical and Responsible AI
• With great power comes great responsibility. – Voltaire
• We are now in an era dominated by data-driven decision-making scenarios and where we
come up with AI-oriented solutions. Here, the importance of ethical considerations and
responsible use of data cannot be overstated. As AI technologies infuse various aspects of
our lives, ensuring fairness, transparency, and accountability in algorithmic decision-
making becomes paramount.

3. • For instance, facial recognition technology has faced scrutiny for its potential biases and
implications on privacy and civil liberties. Moreover, companies and researchers are now
striving to develop more ethical and inclusive AI systems that mitigate bias and defend our
fundamental rights.
Federated Learning and Edge AI
• Decentralization is the future. – Unknown
• The concept of Federated learning is a new approach to train machine learning models
across multiple devices without sharing sensitive data. Instead of sending data to a central
server for processing, this allows devices to collaborate locally to train a shared model. This
ensures that data remains private and secure, as it never leaves the device where it was
generated.
• This is useful in areas like healthcare, finance, and IoT, where data privacy is crucial. For
example, Google’s Federated Learning of Cohorts (FLoC) initiative helps protect user privacy
in online ads by showing targeted ads without revealing personal information Thus, by
leveraging federated learning techniques, organizations can now attain new opportunities to
innovate while respecting user privacy.

4. THANK YOU
https://krct.ac.in/blog/2024/03/30/emerging-trends-in-ai-and-data-science/
• Kariyamanikam Road, Samayapuram,
Trichy – 621112.
• Phone: 0431 – 2670799
• Email: krct.trichy@gmail.com