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Nicholas Kluge CorrΓͺa

Hello World! πŸ€—

I am Nicholas Kluge CorrΓͺa, a Ph.D. student in philosophy and a Master in electrical engineering from the Pontifical Catholic University of Rio Grande do Sul (PUC-RS). Currently, I'm finishing my Ph.D. in Bonn University (Germany).

I am also the president of the PUC-RS chapter of the AI Robotics Ethics Society.

I work as a Machine Learning Engineer, and my main area of research is AI Ethics, AI Safety, and AI Alignment. I like writing, programming, studying, skateboarding, and playing D&D (dwarves are much cooler than elves!).

If you would like to work with me, check out my ongoing research projets!


SKILLS



PROJECTS

RECENT PUBLICATIONS


Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance

In the last decade, a great number of organizations have produced documents intended to standardize, in the normative sense, and promote guidance to our recent and rapid AI development. However, the full content and divergence of ideas presented in these documents have not yet been analyzed, except for a few meta-analyses and critical reviews of the field. In this work, we seek to expand on the work done by past researchers and create a tool for better data visualization of the contents and nature of these documents. We also provide our critical analysis of the results acquired by the application of our tool into a sample size of 200 documents.
arXiv:2206.11922.


On the efficiency of ethics as a governing tool for artificial intelligence

Meta--analyses of the AI Ethics research field point to convergence on certain ethicalprinciples that supposedly govern the AI industry. However, little is known aboutthe effectiveness of this form of β€œEthics.” In this paper, we would like to conducta critical analysis of the current state of AI Ethics and suggest that this form ofgovernance based on principled ethical guidelines is not sufficient to norm theAI industry and its developers. We believe that drastic changes are necessary, both in the training processes of professionals in the fields related to the development of software and intelligent systems and in the increased regulation ofthese professionals and their industry. To this end, we suggest that law shouldbenefit from recent contributions from bioethics, to make the contributions of AIethics to governance explicit in legal terms.
Veritas (Porto Alegre), 67(1), e42584.


Good AI for the Present of Humanity Democratizing AI Governance

What do Cyberpunk and AI Ethics have to do with each other? One similarity between AI Ethics and Cyberpunk literature is that both seek to explore future social and ethical problems that our technological advances may bring upon society. In recent years, an increasing number of ethical matters involving AI have been pointed and debated, and several ethical principles and guides have been suggested as governance policies for the tech industry. However, would this be the role of AI Ethics? To serve as a soft and ambiguous version of the law? In this study, we will seek to expose some of the deficits of the underlying power structures of the AI industry, and suggest that AI governance be subject to public opinion, so that 'good AI' can become 'good AI for all'.
AI Ethics Journal 2021, 2(2)-2.


Singularity and Coordination Problems: Pandemic Lessons from 2020

Are there any indications that a Technological Singularity may be on the horizon? In trying to answer these questions, the authors made a small introduction to the area of safety research in artificial intelligence. The authors review some of the current paradigms in the development of autonomous intelligent systems, searching for evidence that may indicate the coming of a possible Technological Singularity. Finally, the authors present a reflection using the COVID-19 pandemic, something that showed that global society's biggest problem in managing existential risks is its lack of coordination skills as a global society..
Journal of Futures Studies, Vol.26 No.1 September 2021.


Artificial Intelligence Ethics and Safety: practical tools for creating "good" models

As there are still few proposals for how we should implement ethical principles and normative guidelines in the practice of AI system development, the goal of this work is to try to bridge this gap between discourse and praxis. Between abstract principles and technical implementation. In this work, we seek to introduce the reader to the topic of AI Ethics and Safety. At the same time, we present several tools to help developers of intelligent systems develop "good" models. This work is a developing guide published in English and Portuguese. Contributions and suggestions are welcome.
arXiv:2112.11208.


Counterfactual Analysis by Algorithmic Complexity: A metric between possible worlds (upcoming)

Counterfactuals have become an important area of interdisciplinary interest, especially in logic, philosophy of language, epistemology, metaphysics, psychology, decision theory, and even artificial intelligence. In this study, we propose a new form of analysis for counterfactuals: analysis by algorithmic complexity, inspired by Lewis-Stalnaker's Possible Worlds Semantics. Engaging in a dialogue with literature this study will seek to bring new insights and tools to the debate, so that the object of interest, counterfactuals, may be understood in an intuitively plausible way, and a philosophically justifiable manner, aligned with the way we usually think about counterfactual propositions and our imaginative reasoning.
Upcoming in Manuscrito, Volume: 45, Issue: 4.


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