Modern Technology Remediating Bankruptcy and Liquidation

Learning ObjectivesAt the conclusion of reading this chapter, readers ought to be able to: 1. Discuss the impact of new technologies on the practice of bankruptcy and liquidation such as Artificial Intelligence (AI), blockchain, big data analytics, metadata systems, automation, and the metaverse.2. Knowledge AI-based models of predicting financial distress, the analysis of financial patterns, anomalies and insolvency prediction by machine learning algorithms.3. Explain how blockchain technology can be used to guarantee transparency, immutability, auditability, and trust in the insolvency process, especially in the verification of creditors and tracking of assets.4. Examine how smart contracts can be used to automate restructuring agreements, help enforce compliance, and issue conditional payments as well as complicate the liquidation processes.5. Determine the significance of digital forensics and metadata analysis in the detection of fraud, tracking digital evidence, detecting document manipulation, and retrieving buried corporate assets.6. Know the virtual court hearings and digital insolvency administration such as remote creditor meetings, digital document management and valuing digital assets with metaverse.7. Understand the risks related to cybersecurity within the realm of digital insolvency and assess what the best practices are with respect to protecting sensitive financial data, digital evidence, and records of assets.8. Analyze the future of the insolvency practice in a digital, automated, and decentralized global economy, considering the influence of AI, blockchain ecosystems, cryptocurrency, and DAOs, and virtual assets.