{"id":1697,"date":"2019-05-15T02:44:59","date_gmt":"2019-05-15T02:44:59","guid":{"rendered":"http:\/\/kusuaks7\/?p=1302"},"modified":"2023-08-23T08:42:22","modified_gmt":"2023-08-23T08:42:22","slug":"verifiable-ai-data-why-its-critical-for-the-automation-revolution","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/verifiable-ai-data-why-its-critical-for-the-automation-revolution\/","title":{"rendered":"Verifiable AI Data: Why It\u2019s Critical for the Automation Revolution"},"content":{"rendered":"

Businesses are increasingly using AI to automate processes to gain efficiencies, be more competitive and avoid disruption in their markets. According to a recent\u00a0Accenture survey<\/a>, 82% of executives say that their organizations are using data and algorithms based on that data to drive critical and automated decision-making at unprecedented scale.<\/p>\n

But what if the data entering the AI algorithms has been compromised along the way, or the algorithms themselves altered?<\/p>\n

Admiral Michael S. Rogers of the U.S. Navy and Director of the NSA has said that\u00a0data tampering could become the greatest cybersecurity threat<\/a>organizations face. Kissinger Associates CEO Jami Miscik\u00a0agrees<\/a>\u00a0that a more damaging brand of cyberattack would be where perpetrators don\u2019t steal the data \u2014\u00a0\u00a0but change it<\/em>!\u00a0 She offered potential examples of companies not knowing where their inventories are, or financial services firms having the balances changed in their accounts and noted that such tactics could wreak havoc for businesses and the broader economy at a time when there is already flagging confidence in the media and the political system.<\/p>\n

One prime example comes from the oil industry. If hackers access data sources and attempt to shut down an oil rig for a few days, it causes business disruption and lost productivity. But what if those same hackers covertly alter the data, and the oil company spends months drilling in the wrong places? That\u2019s an enterprise-level existential threat.<\/p>\n

In an age of manipulated data, deepfake techniques, and unending data breaches, companies need to know that they are using pristine data in their AI systems. Toxic data will wreak havoc in business systems and cripple an organization\u2019s faith in AI and its customers\u2019 faith in it. Before understanding how and why decisions were made, organizations must be able to stand by the integrity of the data and algorithms used by AI. This might be called\u00a0Verifiable AI<\/strong>\u00a0\u2014 when an organization can provide immutable proof that the data used by their AI systems is unaltered.<\/p>\n

So how do vendors implement Verifiable AI into their products to ensure that their AI algorithms are not handling data that has been tampered with? And how do companies build Verifiable AI into their systems to verify that they are using safe data?<\/p>\n

Two leading pharmaceutical companies \u2014 Merck and Company, Inc. and Amerisource Bergen \u2014 have implemented a fast-track project to more efficiently detect counterfeits and irrefutably document compliance at scale. The project is designed to\u00a0Track and Trace<\/strong>billions of items throughout their supply chains. In just a few weeks they were able to ensure:<\/p>\n