House Oversight Committee
OrganizationRelationship Network
Event Timeline
| Connected Entity | Relationship Type |
Strength
(mentions)
|
Documents | Actions |
|---|---|---|---|---|
|
person
David Schoen
|
Legal representative |
14
Very Strong
|
23 | |
|
person
David Schoen
|
Submitter recipient |
11
Very Strong
|
9 | |
|
person
David Schoen
|
Submission |
11
Very Strong
|
7 | |
|
person
David Schoen
|
Document production |
10
Very Strong
|
11 | |
|
person
Federal Register document
|
Evidentiary exhibit |
7
|
1 | |
|
person
David Schoen
|
Submission of evidence |
6
|
2 | |
|
person
David Schoen
|
Investigative subject witness |
6
|
2 | |
|
person
Bank of America Merrill Lynch
|
Investigative subject provider |
6
|
2 | |
|
person
David Schoen
|
Production submission |
6
|
1 | |
|
person
David Schoen
|
Unknown |
6
|
2 | |
|
person
David Schoen
|
Submission involvement |
6
|
1 | |
|
organization
APO
|
Investigator subject of interest |
5
|
1 | |
|
person
David Schoen
|
Document producer |
5
|
1 | |
|
person
David Schoen
|
Investigation subject provider |
5
|
1 | |
|
person
Goldman Sachs
|
Document production |
5
|
1 | |
|
person
David Schoen
|
Evidence submission |
5
|
1 | |
|
person
David Schoen
|
Document producer recipient |
5
|
1 | |
|
organization
SinoVision
|
Subject of investigation citation |
5
|
1 | |
|
person
David Schoen
|
Subject of investigation discovery |
5
|
1 | |
|
person
David Schoen
|
Submitter investigative subject |
5
|
1 | |
|
person
David Schoen
|
Document provider |
5
|
1 | |
|
person
Bank of America Merrill Lynch
|
Document provider |
5
|
1 | |
|
person
Ackrell Capital
|
Investigative subject evidence |
5
|
1 | |
|
organization
BofA Merrill Lynch Global Research
|
Investigative subject evidence provider |
5
|
1 | |
|
person
David Schoen
|
Subject of inquiry document provider |
5
|
1 |
| Date | Event Type | Description | Location | Actions |
|---|---|---|---|---|
| 2019-07-08 | N/A | Call from House Oversight Committee to DOJ regarding Jeffrey Epstein indictment. | N/A | View |
HOUSE_OVERSIGHT_016388.jpg
This document appears to be a page (168) from a scientific essay or book included in a House Oversight Committee investigation (indicated by the Bates stamp HOUSE_OVERSIGHT_016388). The text discusses transhumanist concepts, including genetic manipulation, cognitive enhancement, and 'brain organoids,' while comparing the energy efficiency of human brains against AI systems like IBM's Watson. It references major tech entities like Facebook, Microsoft, and the NSA in the context of data storage and bio-electronic hybrids.
HOUSE_OVERSIGHT_016387.jpg
This document appears to be page 167 of a scientific or philosophical book/essay included in a House Oversight investigation file. The text discusses evolutionary ethics, the intersection of religion and science, AI ethics (specifically the 'Trolley Problem' applied to machines), and bioethics regarding genetic engineering and animal intelligence. It references Richard Dawkins and uses the history of IVF (Louise Brown) to illustrate how ethical boundaries shift over time.
HOUSE_OVERSIGHT_016386.jpg
This document is page 166 from a collection of essays, stamped by the House Oversight Committee. It features an essay titled 'The Rights of Machines' by Harvard geneticist George M. Church. The text discusses the ethical implications of artificial intelligence, referencing Norbert Wiener's 1950 work, various sci-fi films, and the concept of 'roboethics' and rights for sentient machines. The date is inferred to be around 2018 based on the text mentioning 'sixty-eight years' since 1950.
HOUSE_OVERSIGHT_016385.jpg
This document provides a biographical introduction to genetic engineer George Church, highlighting his work with the Personal Genome Project and his contributions to the BRAIN Initiative. It discusses his perspective on using biology to enhance human capabilities as an alternative to artificial intelligence, his pioneering work with CRISPR, and his concerns regarding the ethical training of future AI systems.
HOUSE_OVERSIGHT_016384.jpg
This document appears to be page 164 of a larger production for the House Oversight Committee. The text is a philosophical excerpt regarding the history of science, discussing concepts of 'judgment,' 'mechanical objectivity,' and 'algorists.' No specific names, dates, or transactional details are present on this specific page.
HOUSE_OVERSIGHT_016383.jpg
This document is page 163 of a House Oversight production (Bates HOUSE_OVERSIGHT_016383). It contains the text of an academic or philosophical essay discussing the dangers of 'mechanical objectivity' and the use of algorithms ('algorists') in criminal justice sentencing. The author argues against relying on 'black box' algorithms that hide trade secrets, citing Rebecca Wexler's 2018 work on intellectual property in the criminal justice system and drawing parallels to historical issues in physics with Kodak and Ilford film.
HOUSE_OVERSIGHT_016382.jpg
This document appears to be page 162 of a book or academic essay regarding the history and philosophy of science (likely 'Objectivity' by Daston and Galison). The text discusses the evolution of scientific representation from 18th-century 'idealization' (perfecting nature) to 19th-century 'mechanical objectivity' (hands-off recording), and finally to the mid-20th-century reliance on 'trained judgment.' While the content is purely academic, the document bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was included in a document production for a congressional investigation, likely related to Jeffrey Epstein's connections to the scientific community.
HOUSE_OVERSIGHT_016381.jpg
This document appears to be a page from a report or academic text included in House Oversight files. It details the work of Anne Milgram (former NJ Attorney General and VP at the Arnold Foundation) regarding the implementation of data analytics and algorithms in criminal justice to create objective risk assessments. The text also philosophically discusses the history and nature of 'scientific objectivity' versus subjective decision-making.
HOUSE_OVERSIGHT_016380.jpg
This document is a page from an essay titled 'Algorists Dream of Objectivity' by Harvard science historian Peter Galison. The text discusses the history of algorithms and contrasts 'clinical' (subjective) judgment with 'algorithmic' (objective) prediction, citing a study by psychologists Grove and Meehl that argues algorithmic prediction is generally superior. The document bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was part of a document production for a congressional investigation, likely related to the Edge Foundation or scientific networks associated with Jeffrey Epstein.
HOUSE_OVERSIGHT_016378.jpg
This is page 158 of a larger document produced for the House Oversight Committee (Bates stamp HOUSE_OVERSIGHT_016378). The page contains only a sentence fragment at the top discussing the limitations of artificial intelligence compared to human learning, likely part of a scientific paper or article attached to the file.
HOUSE_OVERSIGHT_016377.jpg
This text compares the learning processes of children to current artificial intelligence systems, arguing that children are superior at radical conceptual changes, active exploration, and social learning. It suggests that AI development could benefit from mimicking these childhood learning traits, while noting that human "natural stupidity" poses a greater risk than AI itself.
HOUSE_OVERSIGHT_016376.jpg
This document appears to be page 156 from a book or academic paper discussing Artificial Intelligence, specifically comparing bottom-up vs. top-down machine learning approaches and contrasting them with human cognitive development in children. It details experiments regarding 'blicket detectors' and references a 2015 paper by A. Gopnik, T. Griffiths, and C. Lucas. While the document bears a 'HOUSE_OVERSIGHT' Bates stamp, suggesting it was part of a government production (possibly related to Epstein's scientific funding or associations), the text itself is purely academic and contains no direct references to Jeffrey Epstein or his associates.
HOUSE_OVERSIGHT_016375.jpg
This text discusses advancements and challenges in artificial intelligence, contrasting bottom-up systems like AlphaZero with top-down Bayesian models. It highlights the difficulty computers face with tasks trivial to humans, such as image recognition, and explores how Bayesian models address hypothesis testing and concept generation. The text also references research by Brenden Lake and colleagues on using top-down methods for character recognition.
HOUSE_OVERSIGHT_016374.jpg
This document discusses the history and mechanics of AI learning methods, specifically focusing on "bottom-up deep learning" and "reinforcement learning." It references historical figures like B.F. Skinner and modern achievements by Google's DeepMind, such as AlphaZero and Atari game playing, to illustrate how computers detect patterns and learn through reward systems.
HOUSE_OVERSIGHT_016373.jpg
The text discusses the philosophical and psychological debate between bottom-up learning (association and pattern detection) and top-down learning (using abstract concepts and hypotheses). It illustrates these concepts using the analogy of filtering spam emails, contrasting machine learning pattern recognition with human reasoning based on background knowledge.
HOUSE_OVERSIGHT_016372.jpg
This document is page 152 of a larger file (stamped HOUSE_OVERSIGHT_016372), likely from a collection of scientific essays or a book. It features an essay titled 'AIs VERSUS FOUR-YEAR-OLDS' by developmental psychologist Alison Gopnik. The text argues that despite advances in AI, human children possess a distinct, superior form of learning based on structured, abstract representations rather than just statistical pattern detection. While Jeffrey Epstein is not mentioned on this specific page, the House Oversight stamp suggests this document may be part of evidence regarding his connections to the scientific community (likely the Edge Foundation/Edge.org).
HOUSE_OVERSIGHT_016371.jpg
This document is a biographical profile of Alison Gopnik, page 151 of a larger file (Bates stamped HOUSE_OVERSIGHT_016371). It details her background in child psychology, her childhood in Philadelphia, and her research connecting child development (specifically 'theory of mind') with Bayesian models of machine learning and AI. While Jeffrey Epstein is not explicitly mentioned on this page, this type of profile is consistent with materials related to scientific conferences or 'Edge' events that Epstein funded or attended.
HOUSE_OVERSIGHT_016370.jpg
This document page, bearing a House Oversight Bates stamp, discusses the philosophy of Stevini and John Latham of the Artist Placement Group regarding placing artists in corporate and governmental settings. It argues for applying these historical models to the field of Artificial Intelligence (AI) to ensure diverse and non-deterministic perspectives.
HOUSE_OVERSIGHT_016369.jpg
This document appears to be a page from an essay or book discussing the intersection of Artificial Intelligence and Art. It focuses on artist Ian Cheng's 'Live Simulations' and his 'Emissaries' trilogy, detailing a conversation he had with programmer Richard Evans about the role of social practices in AI simulations. The text also draws historical parallels to the 1960s collaborations between engineers like Billy Klüver and artists like Robert Rauschenberg.
HOUSE_OVERSIGHT_016368.jpg
This document is page 148 from a larger text (likely a book or essay collection) included in a House Oversight release (marked HOUSE_OVERSIGHT_016368). The text analyzes the work of artist Suzanne Treister, specifically her project 'Hexen 2.0' which explores the history of the Macy cybernetics conferences (1946-1953). It features a long quote from scientist Heinz von Foerster discussing the necessary connection between art and science, and concludes with a discussion on the philosophical nature of Artificial Intelligence.
HOUSE_OVERSIGHT_016367.jpg
This document appears to be a page (147) from a larger report or publication submitted as evidence to the House Oversight Committee (Bates stamp HOUSE_OVERSIGHT_016367). It features an essay or article discussing the limitations of Artificial Intelligence in art, referencing video artist Rachel Rose and engineer Kenric McDowell of the Google Cultural Institute. While Jeffrey Epstein is not explicitly named on this page, the content aligns with the intellectual and tech-focused circles (such as MIT Media Lab) often associated with the Epstein investigation.
HOUSE_OVERSIGHT_016366.jpg
This document appears to be a page from an academic or critical essay discussing the intersection of Art and Artificial Intelligence (AI). It references artists Paul Klee and Mark Rothko, theorists like Steyerl, and engineers like Mike Tyka, exploring how AI algorithms (like Google's DeepDream) visualize data and the aesthetic implications of these 'black box' processes. It also details a 2017 project by artist Trevor Paglen involving the Kronos Quartet. The document bears a 'HOUSE_OVERSIGHT' Bates stamp, indicating it is part of a larger legislative discovery cache, likely related to the Epstein investigation given the prompt context, though Epstein is not mentioned on this specific page.
HOUSE_OVERSIGHT_016365.jpg
This text explores the intersection of cybernetics, AI, and art, quoting von Foerster on circular thinking and introducing Hito Steyerl's concept of "artificial stupidity." Steyerl argues that current AI is often overrated and unsophisticated, citing the use of simple Twitter bots in political events like the 2016 U.S. election and Brexit as examples of low-grade technology having monumental social impacts.
HOUSE_OVERSIGHT_016364.jpg
This document is a page from an essay titled 'Making the Invisible Visible: Art Meets AI' by Hans Ulrich Obrist, likely part of a larger compilation submitted as evidence to the House Oversight Committee. The text discusses the intersection of art and technology, referencing Marshall McLuhan and Nam June Paik, and recounts the author's conversations with cyberneticist Heinz von Foerster regarding the complementary nature of science and art. While the document bears a House Oversight footer commonly associated with Epstein-related investigations (likely due to Edge.org connections), this specific page contains no direct mentions of Jeffrey Epstein.
HOUSE_OVERSIGHT_016362.jpg
This document appears to be the final page (labeled 142) of a correspondence or essay included in a House Oversight investigation. The text concludes a philosophical discussion arguing that human 'descriptive powers' and the ability to shape social networks allow humans to outperform 'machine-based AI.' No specific names, dates, or signatures are visible on this specific page.
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