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The Institute for Ethical AI & ML

Strategy meeting #1



Alejandro Saucedo

@AxSaucedo
in/axsaucedo

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Today

Intros + Overview

Updates

[Break] + Strategy

Next steps

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Introductions

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#LetsDoThis

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1. Overview

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Vision

Build the Bell Labs of the 21st Century by delivering breakthrough contributions through applied AI research

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About the institute

We are a UK-based research centre formed by cross functional teams of applied STEM researchers, philosophers, industry experts and software engineers

Applied research

We develop industry frameworks and practical research that empowers technologists to design, develop and deploy of machine learning systems responsibly.

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The new complexity

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It gets harder

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The moral-consciousness matrix
Conscious Unconscious
Moral 🤩 🤨
Immoral 👹 🤪

Moral === Wants to do good

Conscious === Knows how to

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IEML phased workstreams

  • Phase 1 - Responsible ML by principle
    • For technologists to implement

  • Phase 2 - Responsible ML by process
    • For technology leaders to introduce

  • Phase 3 - Responsible ML by certification
    • For industries to raise the bar

  • Phase 4 - Responsible ML by regulation
    • For economies to thrive

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The core Principles

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2. Updates

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Phase 1: By principle

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The Machine Learning Operations List

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Ethical AI Network Launch

40+ Ethical AI members

  • Professors & researchers in Computer Science, AI, Philosophy, Cybersecurity and beyond
  • Founders from fast growing AI scale-ups
  • Thought leaders from government departments
  • Directors from large corporates across construction, transport, finance, legal and insurance
  • Senior machine learning, software & data engineers from top tech companies

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Phase 2: By Process

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AI-RFX Procurement Framework


  • A set of tempaltes that will support industry stakeholders looking to procure AI systems.

  • Fully open source, built using our "Machine Learning Maturity Model".

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AI-RFX Procurement Framework


  • Release of first templates next Wednesday

  • AI-RFP & Machine Learning Maturity Model

  • Looking to build "AI-RFX Committee"

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Strategic Data Projects

  • Working with key industry players
  • Taking the framework into practice

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Phase 3: By standards

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IEEE Algorithmic Bias Considerations

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Aiming to submit standard draft by end of month

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ACM Practitioners Board

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We are now contributors to practitioners board

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Phase 4: By regulation

Exploratory

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3. Strategy

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Business Model


Should be fully aligned with the core of the institute:


# Research

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Revenue streams (0-10 people)

Strategic consulting

Software consulting

Event sponsorship

Paid reports

Research Grants

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From non-standard sources

<iframe style="height: 50vh; width: 100vw" src="https://openai.com/about/#sponsors"></iframe>

Research Grants

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Beyond 2019

FOCUS

Areas that should be tackled

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Thank you

Questions? [email protected]