Home > Resources > Whitepapers > AI-driven Personalizationin Digital MediaPolitical and Societal Implications

AI-driven Personalizationin Digital MediaPolitical and Societal Implications

December 6, 2019

Machine learning (ML)-driven personalization is fast expanding from social media to the wider information space, encompassing legacy media, multinational conglomerates and digital-native publishers: however, this is happening within a regulatory and oversight vacuum that needs to be addressed as a matter of urgency. Mass-scale adoption of personalization in communication has serious implications for human rights, societal resilience and political security. Data protection, privacy and wrongful discrimination, as well as freedom of opinion and of expression, are some of the areas impacted by this technological transformation.

Spotlight

NSEiT

"NSE.IT Limited setup in 1999 is a Vertical Specialist Enterprise, NSE.IT offers end-to-end Information Technology (IT) products, solutions and online assessment services. NSE.IT Ltd has expertise in a wide range of business applications including high-end mission critical applications requiring real-time processing speeds. NSE.IT specializes in providing complete IT solutions to Stock Exchanges, Clearing Corporations, Brokerage Firms, Insurance Firms and other organizations in the financial sector. NSE.IT offers end-end services for conducting online assessments for certifications, corporate recruitments and entrance examinations."

OTHER WHITEPAPERS

Conversational AI with Kore.ai

whitePaper | February 16, 2023

This technical white paper discusses the market trends, use cases, and benefits of Conversational AI. It describes a solution and validated reference architecture for Conversational AI with the Kore.ai Experience Optimization Platform on Dell infrastructure.

The Industrialization of AI

whitePaper | September 15, 2022

No broad industry trend, not client/server computing, not affordable hardware, not even the cloud itself, promises to so completely reshape the enterprise than artificial intelligence (AI). Melding decades-old mathematical principles with cutting edge algorithms and readily available, high performance hardware, AI is creating a seismic shift in the way companies across all industries build, maintain, and understand their core and departmental business operations.

Evolution of IT Research Report

whitePaper | July 23, 2020

LogicMonitor asked 500 global IT leaders from across the globe how their departments are evolving to maintain SLAs and business continuity amidst the 2020 global pandemic.

Artificial intelligence across industries

whitePaper | September 12, 2022

Artificial intelligence is currently attracting considerable interest and attention from industry, researchers, governments as well as investors, who are pouring record amounts of money into the development of new machine learning technologies and applications.

Connecting the Lifecycle of Construction

whitePaper | April 16, 2020

To your credit, you’ve done a little research and picked up a drawing tool here, an inspections tool, a bidding tool, and a financials tool. You’ve embraced the future or The Present, as it’s now called and are keeping abreast of ever-changing best practices.

Enabling SASE with Juniper AI-Driven SD-WAN

whitePaper | November 23, 2022

The modern distributed workplace—including enterprises with thousands of branches and remote workers—requires updated approaches to cloud, networking, and security infrastructure. Cloud migration has opened the door to a huge increase in sophisticated applications, requiring networks that can carry traffic to an increasingly remote workforce. In turn, this creates a unique set of new requirements for security, including special capabilities to handle unpredictable locations of users, applications, and traffic flows.

AI-driven Personalizationin Digital MediaPolitical and Societal Implications