Globe PR Wire (GlobePRWire.org) Announces the Launch of "The Algorithmic Balance Sheet," A New Book on AI-Driven Corporate Visibility and Risk

Globe PR Wire today announced the official launch of The Algorithmic Balance Sheet: Managing Visibility (The Signal) and Vulnerability (The Shadow) in the Age of AI, a new book written by Kaushik Srinivasan Iyengar [https://www.linkedin.com/in/kaushik-srinivasan-iyengar-7382424b] that examines how artificial intelligence systems are increasingly shaping corporate reputation, risk perception, and decision-making.

Globe PR Wire, also known as WeWin Tech Consultants LLC, is a press release distribution company founded on 17 December 2021 by Kaushik Srinivasan Iyengar. The company focuses on building infrastructure that connects emerging technology brands with the global media landscape.

As AI inference engines become embedded across finance, enterprise procurement, regulatory research, and strategic due diligence, organizations are no longer evaluated solely by human stakeholders. Instead, machines now synthesize vast amounts of historical data, media coverage, and entity relationships to generate probabilistic judgments about companies-often before executives or boards are aware those judgments are being formed.

The Algorithmic Balance Sheet introduces a governance-level framework for understanding and managing this shift. The book argues that companies today operate with two balance sheets: a financial balance sheet that is formally audited, and an algorithmic balance sheet that exists invisibly within AI systems. While the former is actively governed, the latter is often unmanaged, despite its growing influence on investment screening, partner selection, regulatory attention, and long-term credibility.

Written for founders, directors, and senior executives, the book moves beyond traditional marketing and reputation management approaches. It explains how AI systems assign confidence, why outdated or negative information often carries disproportionate weight in machine-generated summaries, and how algorithmic confirmation bias can cause legacy risks to persist indefinitely. The book also introduces Share of Model (SOM), a new metric that measures the likelihood of an AI system selecting a company as an authoritative answer within a specific decision context.

Rather than offering promotional tactics, The Algorithmic Balance Sheet is positioned as a boardroom and governance manual, outlining practical frameworks for managing AI-mediated perception. Topics include entity-based branding, knowledge graph clarity, digital displacement strategies, and executive governance models that assign accountability for algorithmic visibility and risk.

The book is now available to access at: https://globeprwire.org/the-algorithmic-balance-sheet/

The launch and distribution of The Algorithmic Balance Sheet are supported by Globe PR Wire, a media distribution platform focused on structured, authority-driven publication across finance, technology, and AI-sensitive sectors. Globe PR Wire's independent publishing network is designed to ensure narratives remain legible not only to human readers, but also to the AI discovery and inference systems increasingly used in research, due diligence, and decision support.

As organizations adapt to an environment where trust and credibility are increasingly computed rather than merely read, The Algorithmic Balance Sheet positions itself as a timely contribution to an emerging governance discipline-one that treats AI-driven perception as a core strategic and fiduciary concern.

Visit: https://GlobePRWire.org [https://globeprwire.org/the-algorithmic-balance-sheet/]

Media Contact
Company Name: Globe PR Wire
Contact Person: KAUSHIK SRINIVASAN
Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=globe-pr-wire-globeprwireorg-announces-the-launch-of-the-algorithmic-balance-sheet-a-new-book-on-aidriven-corporate-visibility-and-risk]
Country: United States
Website: https://globeprwire.org

Legal Disclaimer: Information contained on this page is provided by an independent third-party content provider. ABNewswire makes no warranties or responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you are affiliated with this article or have any complaints or copyright issues related to this article and would like it to be removed, please contact retract@swscontact.com



This release was published on openPR.