Through research, analysis, toolmaking, and focused education and outreach, CARMA works to improve the technical, policy, and multidisciplinary aspects of AI risk management, safety, and alignment that should scale to the transformative levels of generality that society can expect from the coming decades.

FLI is a group of scientists who work to make emerging and powerful technologies safer and more beneficial to humanity, working to maximize their global benefits and minimize their pitfalls. I work in AI and AGI analysis and beneficence advocacy, research, and policy, strategically bridging near-term and long-term concerns.Pragmatically, the technical research threads addressed include expanding contextual awareness, scalable control, dealing with emergent subgoals, avoiding reward-gaming, AI-specific security, formal verification of machine learning systems, value alignment, and foundations of rational agency.

Lionheart is an AI safety ecosystem startup VC. I advise on technical and strategic aspects of machine learning, AI safety, AI ethics, product planning, and corporate governance.

Successif guides select mid-career professionals to ways of making positive impact.

The Global Initiative fosters forward thinking, standards, best practices, and discussion about many of the ethical dimensions in the design of artificial intelligence.I cochair the committee on artificial general intelligence, am a member of the governing executive committee, and am part of the committees on autonomous weapons and human well-being.

Maughn works on advanced AI for supplementing software development. I provide guidance on the ethical and technical safety considerations regarding advanced AI.

Causative Labs is an AI safety ecosystem startup incubator and private equity firm. I advise on technical and strategic aspects of machine learning, AI safety, AI ethics, and product planning.

Incubated at the Harvard Kennedy School of Government, The Future Society is a non-profit which gathers citizens, experts, and practitioners interested in addressing the profound consequences of the current technological explosion. Our mission is to help build the future, not to predict it.I advise on the future of artificial intelligence, its technical progression, its applications, and how it can impact society.

CLAIS is a group of organizations working together to map the space of robustness, safety, trustworthiness, and assurance for autonomous and intelligent systems.

Member of the committees on AI, Labor, and the Economy, and on Safety Critical AI.

Astrocyte models and forecasts financial and economic data using bayesian knowledge graphs over time series. I advise on machine learning, risk management, financial research practices , startup funding, graph analytics, business development, semantics, customer development, technical product development, text mining, and strategy.

Leader within the Keystone Advanced Technology Services group; Co-led the Fairness, Auditing, Transparency, and Externalities of AI and the Cybersecurity Centers of Excellence; Provided management consulting and expert supplementation regarding AI- and cyber-centric intellectual property litigation, AI-centric digital transformation, valuation of digital assets, technical acquisition diligence, and information & algorithmic strategy and risk; mentored and guided junior and mid-level technical consultants.

Application of machine learning to characterize financial and economic states, properties, and relationships.

Elemental Phoenix designs technology for high-throughput bulk upcycling of refuse.

Avrio automates the most tedious parts of recruiters' jobs, from matching candidates to positions, to conducting information gathering, sanity checks, and screenings with candidates.I direct research and development of machine learning and artificial intelligence at Avrio. Technically this includes techniques such as distributional semantics, knowledge graph learning, and constraint-based learning. We also work toward implicit bias mitigation and algorithmic fairness.

Tolemi (formerly OpportunitySpace) brings governments, developers, and community organizations together to create vibrant, sustainable communities by applying advanced analytics to unlock the value of public land and buildings. I provide guidance regarding enterprise systems, knowledge integration, semantic technologies, platform development strategies, community engagement, and site remediation.

MarketMuse is the industry-leading technology and methodology for planning and evaluation of marketing content, producing actionable insights for inbound marketers. MarketMuse uses AI to help content marketers, search engine marketers, agencies and e-commerce managers establish and build topical authority, improve content quality and get the most out of every dollar spent on content.I directed research in machine learning, deep learning, computational linguistics, text analytics, graph analytics, and knowledge representation techniques.MarketMuse was acquired by SiteImprove in 2024.

Discussion and coordination of actions to identify and mitigate global risks, with focus on AGI and sustainability.

I led creation of the highest-rated enterprise text analytics system in the world according to Forrester. I also led capabilities in unstructured data analysis and harmonization, distributed advanced analytics, and machine learning on multistructured and ragged data in order to automatically grow and refactor both the ontologies and instance data within enterprise knowledge graphs. I headed R&D and design of technologies for cognitive computing, including knowledge representation, semantic overlay, text analytics, computational linguistics, automated reasoning, deep learning processes, conceptual middleware, automated systems generation, natural language question answering, and search-based BI. My team enables application areas in finance including contextualized fact extraction and complex event processing from research reports and news, information landscape and operationalized metadata management, fraud and insider trading surveillance, regulatory change surveillance, and operational risk exploration. Application areas in pharma my team enables include competitive intelligence, pharmacovigilance, and drug discovery.

• Designed, managed, and hands-on-developed a successful artificial-intelligence-driven automated currency trading system, with features such as historical simulation, automatic trendline identification, automatic strategy discovery and optimization, semantic news analysis, and latent sentiment analysis• Developed machine learning algorithms employing many variations of supervised and unsupervised techniques both discriminative and generative: multi-objective genetic algorithms, decision forests, support vector regression, hidden markov chain sequence classification, neural networks, genetic programming, latent semantic analysis, and agglomerative clustering• Created a multithreaded historical strategy backtester more than 2,000x as fast as the commercial standard using an Active Object pattern for simulations and a Composite pattern for parallel loading of large historical data• Architected a pluggable framework of entry strategies, position management policies, trade filters, and indicators• Implemented a real-time trading bridge for order execution, live quotes, and some technical indicators via a custom web service communication protocol and an ultralight custom Java web server

R&D in artificial intelligence, including natural language processing, computational linguistics, machine learning, and pattern recognition, for understanding and cross-correlating information on entities from across the Internet.

Product manager, development manager, business analyst, and lead developer of systems for credit risk management, research management, counterparty risk management, and enterprise risk management. Advanced analytical reports on counterparty exposure my systems produced were lauded as industry-leading at the height of the financial crisis.

Architect, development manager, and chief technologist for suite of award-winning SaaS electronic health records, medical practice management system, bayesian decision support system, e-prescription platform, advanced document repository, and CPOE. Brought the platform from zero users to thousands of paying clinicians. (VP in this company, in contrast to many companies these days, meant second from the top.)

Created a content management, e-commerce, and watermarked publishing application for a boutique investment bank.

Developed and marketed enterprise software components for machine learning.

Developed heuristic-heavy software for TWC's intranet and extranet, used enterprise-wide to manage headends and channel lineups.

Developed platform for browsing the web via phone call and IVR.

Led architecture, development, and pre-sales engineering of custom web applications (including search engines) and websites using a variety of technologies for high-end clients.

Conceived, developed, and maintained portal and its content on science, technology, health, and philosophy, focused on emerging science and the biophysics of life and consciousness.