Facebook Pixel AI, ethics, and the future of care | PCQuest - technology - Lisez cet article sur Magzter.com
Passez à l'illimité avec Magzter GOLD

Passez à l'illimité avec Magzter GOLD

Obtenez un accès illimité à plus de 9 000 magazines, journaux et articles Premium pour seulement

$149.99
 
$74.99/Année

Essayer OR - Gratuit

AI, ethics, and the future of care

PCQuest

|

July 2025

AI is shaking up healthcare, but it's not all about tech. It's about clean data, sharp minds, and ethical care. From smarter classrooms to stronger laws, the future is forming— one algorithm, one insight, one informed consent at a time

- Preeti Anand preetia@cybermedia.co.in

AI, ethics, and the future of care

In the fast-evolving landscape of healthcare management, one academic voice is helping decode the real impact of Artificial Intelligence (AI), beyond the jargon. Dr. Poonam Chauhan, Program Director for the MBA in Healthcare Management, K J Somaiya Institute of Management, brings a grounded yet forward-thinking perspective on how AI is reshaping patient care, ethics, education, and the future of the industry itself. In this conversation, she unpacks the big questions, and the even bigger shifts.

AI, ethics, and the future of care

In India's healthtech space, Artificial Intelligence (AI) is no longer a future buzzword, it's a living, breathing part of patient care, diagnostics, and the way tomorrow's professionals are being trained. At the heart of this shift is a quiet but firm belief: healthcare must be smarter, more accessible, and deeply human at its core.

imageAI is rising as a mix of promise, pressure, and persistent learning. And the path ahead? It's layered with messy data, ethical hurdles, and the urgency to train a new generation of thinkers who won't just adapt to change—they'll help define it.

Data: Powerful, but dangerously fragmented

One of the biggest obstacles to building impactful AI in healthcare isn't the algorithm. It's the input. Data, despite being everywhere, remains scattered, disintegrated, and coded without uniformity. The lack of standardized practices creates friction before an Al model can even begin training.

PLUS D'HISTOIRES DE PCQuest

PCQuest

PCQuest

AI on the ground Practical use cases of AI in large enterprise operations

AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter

time to read

3 mins

March 2026

PCQuest

PCQuest

From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners

Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?

time to read

4 mins

March 2026

PCQuest

PCQuest

How automation at the periphery is accelerating digital transformation

Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos

time to read

2 mins

March 2026

PCQuest

PCQuest

When AI moves from chips to racks

AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one

time to read

4 mins

March 2026

PCQuest

PCQuest

Designing enterprise AI systems that stay fair

In 2026, bias is no longer treated as a communications issue or a public relations headache.

time to read

6 mins

March 2026

PCQuest

PCQuest

HALO smart sensor

What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?

time to read

2 mins

March 2026

PCQuest

PCQuest

Building enterprise AI that doesn't discriminate

Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements

time to read

4 mins

March 2026

PCQuest

PCQuest

Bias travels faster than code

Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls

time to read

6 mins

March 2026

PCQuest

PCQuest

How hospitals can use AI without risking patient data

With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.

time to read

2 mins

March 2026

PCQuest

PCQuest

DeFi in 2026: The rise of liquidity, privacy and decentralized exchanges

DeFi's teenage years are over. Liquidity now behaves like infrastructure, privacy is baked in with zero-knowledge math, and DEXS hum like borderless trading engines. What once felt scrappy now resembles parallel financial system-without gatekeepers

time to read

3 mins

March 2026

Listen

Translate

Share

-
+

Change font size