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Cyber Defense eMagazine February Edition for 2023

Cyber Defense eMagazine February Edition for 2023 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES

Cyber Defense eMagazine February Edition for 2023 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES

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What Role Can AI Play in Data Objectivity?<br />

By Garry M. Paxinos, CTO of netTALK CONNECT and NOOZ.AI<br />

Humans have eventually realized that sorting through a mountain of data, parsing it (turning it into a<br />

<strong>for</strong>mat more easily understood by a computer), and analyzing it to enhance commercial decision-making<br />

processes is too laborious <strong>for</strong> us. The solution has come from writing algorithms with artificial intelligence<br />

to complete the challenging task of extracting knowledge from complicated data.<br />

Many businesses use "data-driven" decision-making <strong>for</strong> operational decisions. Data may enhance<br />

judgments, but we need a “processor” or person to utilize it. Even the fact that data is filtered and<br />

summarized <strong>for</strong> processing by individuals is implied by the phrase "data driven."<br />

However, to effectively capitalize on the value that data holds, businesses must integrate artificial<br />

intelligence (AI) into their operations and, at times, remove us humans from the picture—data-driven<br />

workflows must change to ones that are AI-driven.<br />

Within this already significant challenge comes another—bias in data collecting <strong>for</strong> AI will provide skewed<br />

outcomes that will impair the fair deployment of that AI. The motto of a data scientist is "Garbage In,<br />

Garbage Out," and this principle also applies to AI. If you feed an algorithm useless speculation, then<br />

useless theories and speculation will be the result.<br />

<strong>Cyber</strong> <strong>Defense</strong> <strong>eMagazine</strong> – <strong>February</strong> <strong>2023</strong> <strong>Edition</strong> 159<br />

Copyright © <strong>2023</strong>, <strong>Cyber</strong> <strong>Defense</strong> Magazine. All rights reserved worldwide.

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