The future is here

Dear Colleagues and Friends, 

Since I am only an IT college student so I have not been involved in any serious project in the IT field. However, I hope that my student membership in AСM allows me to share my views with established professionals and thus join a broad and constructive discussion on AI issues. 

Over the past couple of years, the topic of harmonious development of technologies based on the fruits of AI has attracted everyone's close attention. In an effort to understand the current stage of development of this technology and its perception by society and the government, I attended a lot of online events (including extremely enriching ACM Talks webinars), read dozens of articles in the professional and business press, studied regulations AI issues by EU, US and UN.

However, I do not see or feel that this collective search has harmonized the views on AI development expressed by inventors, representatives of the business community, IT specialists, and current and future users of AI products.

As a future IT professional, I would like to see less confrontation and more solidarity regarding the global technological breakthrough.

As an accomplished legal professional, I see that now is an important moment to move from honing the principles of working with AI to formulating and implementing (somewhat proactively) specific mechanisms for the implementation of AI products, as well as establishing fair and responsible regulation of their social and legal consequences. 

In the context of the above, I offer for consideration my views on two aspects of the development and implementation of AI technologies:

Issues of cooperation in the field of regulation of computing power, joint insurance of AI products, and determining the social status and protection of persons with a hybrid nervous system (hybrid people) 

Dear Colleagues and Friends,

In furtherance of the discussion on the topic of "Key technology policy issues will be grappling with in 2025", let me outline some mullings at the intersection of the theory and practice of computer science, law, and neuroethics.

«Our society and thus each individual has the possibility to (help) decide how the world, in which we want to live with artificial intelligence in the future, should look. Philosophy, law, and technology play a central role in the discourse that has to be conducted for this purpose» (from Fraunhofer IAIS’s report «Trustworty use of AI»).

 Essential idea of that proposals - drawing from the deep technical expertise of the computing community, to provide to policy leaders and stakeholders nonpartisan theses on policy gaps in the field of neuroethics, development and implementation of ML/AI tools. It is preferable that this regulation be a harmonious symbiosis of legal norms both at the state level and at the level of socially responsible professional communities.

The approach mentioned in paragraph 6.2 of The CEN-CENELEC Focus Group Report: Road Map on Artificial Intelligence (AI) and, in fact, focused on autonomous self-regulation of AI tools (systems) seems inappropriate to current risks and treats: “An alternative approach is that the system itself ensures that modifications of its functionality due to self-learning have no negative impact on assessment topics like safety or fairness”.  Further, in the same place, the potential ineffectiveness of the certification system for AI tools is actually recognized: “For artificial intelligence systems that learn as they are used, the problem is that the behavior of the system changes continuously and will require a new conformity assessment each time.”

What is ageing? We can define ageing as a process of accumulation of the damage which is just a side-effect of normal metabolism. While researchers still poorly understand how metabolic processes cause damage accumulation, and how accumulated damage causes pathology, the damage itself – the structural difference between old tissue and young tissue – is categorized and understood pretty well. By repairing damage and restoring the previous undamaged – young – state of an organism, we can really rejuvenate it! It sounds very promising, and so it is. And for some types of damage (for example, for senescent cells) it is already proved to work!

Today in our virtual studio, somewhere between cold, rainy Saint-Petersburg and warm, sunny Huston, we meet Stephanie Planque! For those of you who are not familiar with her, here is a brief introduction.

Stephanie Planque was awarded the PhD in 2009 by the University of Texas-Houston Medical School for her advances in applying electrophilic analogs of proteins to decipher the beneficial and harmful functional effects of catabodies. She then expanded her focus to vaccination and therapeutic catabody identification using proprietary electrophilic target analogs. Her work was published in 49 peer-reviewed scientific articles, she has numerous national/international conference presentations. She moved fulltime as a co-founder to Covalent Bioscience in 2018 to focus on rapidly translating their electrophilic vaccine/catabody technologies to clinical reality.

1 Playing Diplomacy

1.1 What this work is about

1.2 A puzzle for the talented and brave (Eccentrics are welcome: ?)

Experiments on the Torus

1. About this series of articles

1.1 Central result

I wonder why IT developer interviews are so strange most of the time. It feels as if the people are looking for computer science teachers, not engineers. All those theoretical questions that have no relation to the working reality. It is strange to be looking for eloquent teachers, who can perfectly explain any term or pattern, and then ask them to do the actual work. Maybe it is the imprint from the years spent in university when the teachers looked like all-knowing gods and seemed to solve any issue in your life. May be, may not. Anyway, these teachers stay in unis and don't do the work.

You know, what would be my universal answer to all interview questions? “I have no idea how and why it works, but I can use it, and I can use it for good”. This is the reality. Actually, no one knows exactly these hows and whys. What is a computer? What is electricity? What is an electron? No one knows for sure. But it works and we use it.

Imagine a famous author, like Stephen King, asked a question about the difference between deus ex machina and Mary Sue. Would his answer change the quality of his books? He may or he may not know all those scientific literature terms, but he can use the language and use it for good.

Every time I turn on my computer it is a wonder. I have no idea what is going on, but it awakes, it becomes alive, and I can communicate with it in its own sublime and subtle language.

Have you ever realised that all these electronic devices are monsters, Frankenstein's monsters? Some pieces of dead matter were put together, and then, with some electricity involved, it suddenly awoke. “It's alive!”. Had Frankenstein any idea why it turned alive? Of course not, or why he was so surprised? Every developer experiences this feeling almost every day. “It's working!”

Nothing and nobody will escape oblivion. Whatever you may say, the history of mankind is a history of automation and the subsequent evolution of workers. This happened both during the first industrial revolution and during the second. The same thing happened with digital revolution. Now machine learning and artificial intelligence are being implemented everywhere. What is the future of software testing?

We are increasingly aware of the importance of our personal data. Primarily due to numerous data leaks and the fact of numerous sales of personal information on the black market. Yes, huge corporations like Apple or Samsung prioritize the preservation of sensitive user data. However, they find it difficult to store and use them at the same time. That is why blockchain technology is the perfect tool for solving the online privacy problem.

There are constant news in the media about the problem of personal privacy, which is represented by constant data leaks and the general technological illiteracy of the world population. In the Pew study, nearly 80% of respondents said they are very concerned about how companies are using the data they collect. In MState's study, 24% of respondents stopped using certain apps due to privacy concerns.

Today, an increasing number of people are actively protecting their data by refusing the services of companies and applications that use personal data. This is why Apple, Lyft, Dropbox, and Adobe have started taking a consumer-centric approach to data privacy. Consumers' understanding that their personal data is a commodity is increasing.

Free TON is a prime example of a secure blockchain. This blockchain has some of the best features compared to Ethereum, Binance Smart Chain, and Stellar. Data security directly depends on the use of blockchain. Each of the above blockchains provides a different level of data protection. Ethereum is the most popular blockchain, but Free TON may soon overtake it. This blockchain is just over a year old, and its capabilities exceed those of all other blockchains.

Annotation. This article gives an analogy between the forces of nature and various types of money. A justification for the "money conservation laws" is made. Explanation of the IT-money phenomenon by analogy to physics laws is given, as well as gold and currency money. The transition from the gold and currency to the gold-currency-computing economy is considered. A reasonable assumption is made that the fourth type of money after gold, securities and IT money will be so-called "citation indices" or "ratings", which are similar in their properties to stock indices.

This article is an attempt to understand what money is from the physics and econophysics points of view. Econophysics (economics and physics) is an interdisciplinary research field, applying theories and methods originally developed by physicists to solve problems in economics, usually those including uncertainty or stochastic processes, nonlinear dynamics and evolutionary games.

Preface