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X-WR-CALNAME:Security LeadHER Conference
X-WR-CALDESC:Advance. Connect. Empower.
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DTSTART:20261101T010000
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UID:MEC-3c565485bbd2c54bb0ebe05c7ec741fc@securityleadher.org
DTSTART;TZID=America/New_York:20260616T111500
DTEND;TZID=America/New_York:20260616T120000
DTSTAMP:20260318T095027Z
CREATED:20260318
LAST-MODIFIED:20260430
PRIORITY:5
SEQUENCE:4
TRANSP:OPAQUE
SUMMARY:The Objectivity Trap: Leading With Influence When “the Data Says No”
DESCRIPTION:Artificial intelligence is often sold as the ultimate solution to human bias, but in high-stakes security environments, bias doesn’t disappear—it simply changes shape.\nIn risk decision making, we increasingly face the “Objectivity Trap.” Phrases like “the data says…,” “the model is objective…,” or “we’ll just automate it” are frequently used to shut down expertise and override human judgment. For women and underrepresented leaders, these moments create unique credibility challenges, where questioning a “neutral” model can be unfairly labeled as being “difficult” or “antitechnology.”\nThis session pulls back the curtain on how bias is rebranded as data in AI-driven cultures. We will explore how to respond with clarity and influence when automated systems conflict with professional intuition or ethical standards. Attendees will learn how to recenter human accountability without dismissing innovation, ensuring that while AI may support the decision, it never replaces the leader.\nIn the AI era, bias often hides behind the mask of “objectivity.” This session empowers security leaders to recognize when algorithms obscure human insight, providing the strategic tools needed to protect ethical decision making and maintain leadership authority in a data-driven world.\nAttendees will leave this session able to:\n\nDeconstruct the “Neutrality Myth”: Identify three specific ways algorithmic bias is masked as “objective truth” in security and hiring workflows\nDeploy “Influence Scripts”: Utilize a toolkit of practical communication strategies to challenge automated outputs without appearing “anti-tech”\nReclaim Risk Ownership: Frameworks for reframing AI outputs as signals rather than decisions, ensuring human-centered ethics and duty of care remain the final word\n\n
URL:https://securityleadher.org/events/the-objectivity-trap-leading-with-influence-when-the-data-says-no/
CATEGORIES:Agenda,General Session
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