Navigating Governance Challenges in AI and Web Development

Web development and artificial intelligence have caused a revolution in the world and have made things easier and more innovative in almost every area of our lives. While they represent a big step forward, they also create big problems related to data protection, ethics, and following the law. This article talks about these worrying issues focusing on the need for a good system of rules to make sure AI and the Web grow and are used. We look at the healthcare and e-commerce fields to show the real-world effects of what can happen when these technologies are developed with better rules. We know that while web development and AI have many good points, they also come with risks. These worries include invading privacy unfair computer programs, and not being open enough about how things work. Controlling security factors, AI bias, and giving proper credits of responsibility are the foundational elements for developing people's confidence in AI and web technologies in reshaping society with reference to current law. This discussion looks at current practices and potential frameworks to facilitate the continuance of the existing debate on AI governance and the future of web development. Concerns regarding the pros and cons of using such technologies as well as legal requirements should be underlined to make use of such technologies beneficial to society and cause less harm to people.

Authors

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/emergin63207.2024.10961196
Citations
3
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating Governance Challenges in AI and Web Development

Abhishek Sondkar, Kuldeep Vayadande, Siddarth Thakur, Samarthkumar Thakkar et al.
3 citations
Big Data and Business Intelligence
1.59
article

Navigating Governance Challenges in AI and Web Development

Abhishek Sondkar, Kuldeep Vayadande, Siddarth Thakur, Samarthkumar Thakkar, Shraddhesh Tamhane, Soniya Warade
article en
3 citations

Abstract

Web development and artificial intelligence have caused a revolution in the world and have made things easier and more innovative in almost every area of our lives. While they represent a big step forward, they also create big problems related to data protection, ethics, and following the law. This article talks about these worrying issues focusing on the need for a good system of rules to make sure AI and the Web grow and are used. We look at the healthcare and e-commerce fields to show the real-world effects of what can happen when these technologies are developed with better rules. We know that while web development and AI have many good points, they also come with risks. These worries include invading privacy unfair computer programs, and not being open enough about how things work. Controlling security factors, AI bias, and giving proper credits of responsibility are the foundational elements for developing people's confidence in AI and web technologies in reshaping society with reference to current law. This discussion looks at current practices and potential frameworks to facilitate the continuance of the existing debate on AI governance and the future of web development. Concerns regarding the pros and cons of using such technologies as well as legal requirements should be underlined to make use of such technologies beneficial to society and cause less harm to people.

Openalex Percentile: Top 12%
Big Data and Business Intelligence
1.59
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.