Dark Intelligence

Issue

Questions about contemporary artificial intelligence (AI) — regardless the iteration, current and envisaged, including a postulated “singularity” — are not principally about the technology. They are principally about the essential meaning of human intelligence and, more deeply, the total human person. They imply a forgottenness, perhaps even an abandonment, of the primordial meaning of “to be.” Although this shortage is chiefly subjective, or, more precisely, existential or ontological, its potential effects are industrial. It risks swaying efforts to develop AI systems onto less than optimal trajectories. More precisely, confusions concerning the essential meaning of human intelligence hazard the generation and propagation of inefficacies in technological vectors to encode its basic constituents.

Response

This 5-hour workshop lays out the case to supersede the “artificial intelligence” sobriquet with “dark intelligence” to (1) mitigate apparent presuppositions belying the technology, (2) clarify the way AI is thought, and (3) strengthen system development insofar as the efficacy of advancing AI correlates with the discernment of human phenomena specified for computational simulation. A phenomenological perspective is enacted in simplest terms. The workshop (1) reduces AI to its core statistical processes, (2) discerns the essential meaning of human intelligence, which is originally affiliated with “light,” “visibility,” and “saying” — over against those operations, (3) specifies the interpretive constraints associated with thinking AI and a postulated “singularity” (AI Boltzmann Brain) as allowed by the statistical formulation of entropy (S = k ln W), and (4) posits the operational effects of replacing the moniker.

Key performance indicators (KPIs)

• Clearer understanding of artificial intelligence (AI)
• Clearer understanding of human intelligence
• Discernment of the difference between AI and human intelligence
• Improved efficacy developing AI systems

Teaching Method

Sigetic training and seminars subscribe to the teaching principles extended upon by the US Army Common Faculty Development - Instructor Course (CFD- IC). The CFD-IC combines the outcomes of the Army Basic Instructor Course (ABIC), the Small Group Instructor Training Course (SGITC), and the Faculty Development Program Phase 1 (FDP1). It is the “gold standard” of adult learning. Its methodology — which includes discovery sessions, knowledge checks, and exercises — enables clients to optimize learning fast. The author obtained his CFD-IC certification in 2019.

Workshop author and presentor

Joaquin Trujillo PhD — Sigetic CEO/CTO — is a former Central Intelligence Agency (CIA) Operations Officer and holds a PhD in Sociology from Florida International University (FIU). His CIA service comprised tours in Europe, the Middle East, one combat zone, and designations as Acting Chief of Station (ACOS) and Acting Chief of Base (ACOB). He regularly coaches US military and Special Forces in the team, leadership, communicative, and high reliability processes ingredient to successful intelligence and psychological operations during war and evaluates their performance against those variables. His scientific work exhibits basic human phenomena — including thinking, intelligence, conscientiousness, common sense, and teams — in advanced technologies and high risk systems. It also discerns the cognitive operations commonly specified for computational simulation (AI).

Contact Information and Cancellation Policy

Sigetic is scientific and operations consulting firm based in Houston, TX. See https://sigetic.com for further information. Please send queries to Sigetic CEO/CTO — Joaquin Trujillo PhD — at [email protected].

The exact venue address is provided upon registration. Lunch and refreshments are provided.

Public metered street parking is available. A paid private parking garage is also available. The venue is accessible by public transportation.

Full refunds for workshop registration MINUS EVENTBRITE SERVICING AND PROCESSING FEES are available for cancellations executed 24 hours prior to the scheduled course date and time . Cancellations less than 24 hours before the course date and time are not refundable.

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