A project by dear friends at Cesar & Lois Art Collective who engage in a vision for Ecosystemic AI — articulating connections across prehuman and posthuman intelligences

Aaron Copland’s “Fanfare for the Common Man” is the incomprehensible masterpiece that emerged in my mind as I was settling down, rushing to organize the threads in my life that have led me to write these lines. Imagine the sound of Aaron Copland’s fanfares as you’re reading these words. As Terence Blanchard said in a recent NPR story about the piece: “Whenever I hear it, it stops me in my tracks and makes me reflect on the goodness of man”.

It surely depends on what the pronoun “it” refers…


Our interactions with algorithmic systems lead us to develop relationships which extend beyond the digital realms. Inevitably, they have first and second order implications on our innate sense of agency, autonomy, and identity. Disentangling these implications leads us to question the existing legal and other frameworks that operate on the level of human-algorithmic interactions. This essay is a short summary of related reflections from attending and participating at the 2020 AAAI Spring and Fall Symposia tracks on Towards Responsible AI in Surveillance, Media, and Security through licensing and Conceptual Abstraction and Analogy in Natural and Artificial Intelligence. …


This summary introduces the results from preliminary analysis of the CORD-19 research dataset and aims to investigate the ethical and social science considerations regarding pandemic outbreak response efforts. In particular, we identify the research articles in the dataset which discuss the potential barriers and enablers for the uptake of public health measures for prevention and control. We also identify articles discussing the implications of public health measures to vulnerable groups such as front-line care providers, elderly, homeless communities, gig workers, and others. We hope that these findings are helpful in highlighting how others have been able to address social and…


Good maps allow us to extend our senses. They bring awareness and agency by enabling action based on more informed decisions. This is also what has partly driven us to explore the intersection between organizational structure and AI. Not all of AI work in general but specifically the work encompassing the issues of fairness, accountability, explainability of Machine Learning (fair-ML), there’s a need for practical and pragmatic map-making which could empower fair-ML practitioners to do the work that they do while making sure there’s an alignment between their work and Society at large. …


Do you ask yourself what happens to the ghostly presence that remains after you interact with a digital system?

The very moment you open a web page, scroll down, scroll up, and down again, thumbs up, thumbs down … you leave digital traces, even a kind of fingerprints that could be used to identify your mood, the likelihood you’ll buy a product, the likelihodd you’d like the next song or movie, and infinitely many other tiny choices. These traces are everything but obvious. Web crawlers, apps, advertisers, so many entities are after them. More than a Halloween costume idea, it is interesting to make visible the ghostly presence left from these interactions — I’ll call my ghostly remains…


This article is inspired by a talk that happened at the All Tech Is Human event in San Francisco. A fascinating community I’ve been part of for a year. The goal here is to introduce a way of thinking about algorithmic fairness, accountability, and transparency, which allows us to reflect a single totality. Dualities are not seen as contradicting each other but instead reflecting a single totality in which nothing is left out.

Data has always been used as a way to oppress. No need to believe me, watch this great talk on the past, present, and future of Data…


Minority report detection in news related to the refugee crisis; The power of community-driven investigative journalism; Seeing whole systems;

Reveal rather than enframe

The worldview of Cybernetics was about systems — human, nonhuman, and both — and that our world of “exceedingly complex systems”[1] can never be fully knowable, it’s instead a “performative dance of agency”[2]. Norbert Wiener talked about the coordination and collaboration between men and machines at the very core of Cybernetics. In his book “God and Golemn”, 1964, he wrote about many…


Often times people talk about Artificial Intelligence without ever defining what is it that they call AI. Narrow and general intelligence, transformative AI, provably beneficial AI, extended intelligence as well as infinitely many other concepts. The goal of this writing is to give a working definition of the AI we’re hereby concerned with and embark on an exploration of how we could learn from history and employ intentionality, commitments and exuberance as first principles in the design of an AI system. All of this is work in progress and it is only through co-creation that we can create algorithms that…

Bobi Rakova

Social change through response-able systems that empower participation and inclusion. Ethics and Governance of AI. AI Safety Geek.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store