About

Camilla Brossa helps people and organisations understand, design and govern technological change, keeping the human being at the centre.

Technology, business and awareness to design a more human future.

About me
Turin

Camilla Brossa

Personal archive

Founder author & advisor

The work
06
01 CAIA Consulting AI adoption in the enterprise: process mapping, use cases that hold up on the P&L, governance that holds up in an audit. advisory · governance · process mapping 02 Antropotech Thirty universal laws for technological humanism. The book that holds strategy, ethics and technology together in plain language. book · bestseller 03 Keynotes Talks on AI, work and the future. Cut to fit the room, not my slide deck. conferences · events · corporate 04 Teaching Courses and lectures on AI, data and innovation, from university halls to executive education. harvard · hult · marangoni 05 AI Act & literacy What the law demands, what common sense demands, and in what order to move. No alarm, no postponing. policy · assessment · training 06 AI Film Festival Concept and direction for projects where AI meets cinema and visual language. concept · cinema · new languages

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About

I’m Camilla Brossa. I help companies and institutions govern technological change with the human being at the centre.

in short

The journey

A degree in Turin, LVMH in Milan, then around four years in San Francisco: two Master of Science degrees at Hult, Genies, Metaversal. Today: CAIA Consulting, the halls, the book.

02of09

Where I’ve been

The pages I’ve written in, the halls I teach in, the institutions I’ve worked with.

  1. articles · feature

    In print

    A 2023 Forbes article on avatars and digital identity. Two more for Informazioni della Difesa, the Italian Ministry of Defence’s official magazine. A Fortune feature.

  2. teaching · lectures

    Teaching

    Guest lecturer at Harvard, on the Business Models and Platforms course, and at Hult, where I studied. Lecturer at Istituto Marangoni, on Fashion Management and Communication.

  3. chambers of commerce

    Institutions

    Italian Chamber of Commerce in London: AI, innovation, business transformation. In Dubai: innovation, AI, internationalisation.

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Five dimensions

I don’t only explain AI in public and I don’t only consult on technology: I work where five things hold together.

  1. technology

    What I built

    Studies, around four years in Silicon Valley and work on digital products: avatars, virtual identity, the creator economy.

  2. execution · pmo

    Strategy

    Projects run, processes built, teams led: twenty-plus projects and a hand in building Genies’ first PMO. A strategy is worth only as much as its execution.

  3. teaching · writing

    Communication

    Teaching, keynotes, writing, explaining it in public. Simplifying without trivialising is part of the job, not an add-on.

  4. ethics · governance

    Responsibility

    Governance, impact and responsibility, not only adoption: how an output gets checked, who answers for a decision, which policies are needed.

  5. book · vision

    Humanism

    Technological humanism: using machines so people can be more human, not the other way round. That is the argument of Antropotech.

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AI ethics

Artificial intelligence should not only be powerful. It should be understandable, and someone should answer for it.

design

Before, not after

Ethics is not a limit bolted on at the end. It is part of the design: it arrives when the problem is chosen, not when the damage is counted.

assessment

Value and risk

Value created, risks, bias, privacy, security, intellectual property, the effect on people’s jobs. And the alternatives available.

supervision

What stays human

Which processes to automate, which decisions to keep under human supervision, which policies to write, how to check the outputs.

05of09

Where to begin

Three doors: a company, a stage, a book.

consulting · training

CAIA Consulting

Founder of CAIA Consulting: strategic advisory, AI mapping, Company Brain, PMO, AI literacy and the AI Act. When needed, an international network of specialists joins in.

Open
stage

Keynotes

AI ethics, the future of work, from role to talent, technology and spirituality. Data and trends on one side, first-hand experience on the other.

Open
book

Antropotech

The systems we build resemble the people who build them: that is where the book starts. Thirty universal laws applied to technology, leadership and work.

Open

06of09

The stance

Innovation is not only about what technology can do, but about what it should do.

I

Technology amplifies what we are

Artificial intelligence does not fix an organisation’s problems on its own. It can amplify the culture, processes, values and biases already there.

II

Ethics belongs in the design

Ethics, governance and responsibility are considered from the start. Discussing them once the technology is already running is not enough.

III

The limit isn’t technical

Whether a thing can be built is a technical question. Whether it is worth building is another, and it takes discernment, not only speed.

IV

The yardstick

No uncritical enthusiasm, no generalised fear of technology. AI is assessed on the value it creates, on the risks, and on the available alternatives.

V

What the power is for

Artificial intelligence must not only be powerful. It has to be understandable, accountable and aimed at human wellbeing.

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The criteria

The dimensions are judged together, not one at a time.

  1. A

    Value and alternatives

    What value the system actually generates, and which alternatives are available.

  2. B

    Risks, security, privacy

    What can go wrong, security, and privacy.

  3. C

    Bias, transparency, decisions

    Which biases it reflects from the people and the organisation designing it, how transparent it is, and the quality of the decisions.

  4. D

    Responsibility and intellectual property

    Who answers for the outputs, and intellectual property.

  5. E

    People, work, society

    The impact on people, the consequences for work and for society, and sustainability.

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The decisions

The decisions I help companies take.

  1. 01

    Tools and data

    Which tools to use, and which data to share.

  2. 02

    Automation and oversight

    Which processes to automate, and which decisions to keep under human oversight.

  3. 03

    Checks and records

    How to check the outputs, and how to document the use of AI.

  4. 04

    Policy and accountability

    Which policies to introduce, and where responsibility sits.

  5. 05

    Skills and culture

    Which skills to develop, and how to build a responsible company culture.

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The entry points

Decisions like these get taken inside a project. Here is where I come in.

advisory · decision points

Advisory

The role can be that of an outside advisor, brought in at the decisions that matter most.

process mapping · use cases

AI mapping

The path can include process mapping, use cases, an assessment of risks, impact and feasibility, prioritisation and a roadmap.

AI Act · assessment · policy

AI literacy

Programmes that can include an opening assessment, modules by role and a training record, built on the tools actually in use.

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