143 Matching Annotations
  1. May 2023
    1. three principles, transparency, accountability, and limits on use.

      3 principles for AI governance

    2. Number one, you’re here because AI is this extraordinary new technology that everyone says can be transformative as much as the printing press. Number two is really unknown what’s gonna happen. But there’s a big fear you’ve expressed to all of you about what bad actors can do and will do if there’s no rules of the road. Number three, as a member who served in the house and now in the Senate, I’ve come to the conclusion that it’s impossible for Congress to keep up with the speed of technology.

      A good summary of the current situation with AI technology.

    3. And what auto GPT does is it allows systems to access source code, access the internet and so forth. And there are a lot of potential, let’s say cybersecurity risks. There, there should be an external agency that says, well, we need to be reassured if you’re going to release this product that there aren’t gonna be cybersecurity problems or there are ways of addressing it.

      ||VladaR|| Vlada, please follow-up on this aspect on AI and cybersecurity.

    4. the central scientific issue

      Is it 'scientific issue'? I do not think so. It is more philosophical and possible even, theological, issue. Can science tell us what is good and bad?

    5. the conception of the EU AI Act is very consistent with this concept of precision regulation where you’re regulating the use of the technology in context.

      EU AI Act uses precise regulation of regulation AI in specific contexts.

    6. a reasonable care standard.

      Another vague concept. What is 'reasonable'? There will be a lot of job for AI-powered lawyers.

    7. Thank you, Mr. Chairman and Senator Hawley for having this. I’m trying to find out how it is different than social media and learn from the mistakes we made with social media. The idea of not suing social media companies is to allow the internet to flourish. Because if I slander you you can sue me. If you’re a billboard company and you put up the slander, can you sue the billboard company? We said no. Basically, section 230 is being used by social media companies to high, to avoid liability for activity that other people generate. When they refuse to comply with their terms of use, a mother calls up the company and says, this app is being used to bully my child to death. You promise, in the terms of use, she would prevent bullying. And she calls three times, she gets no response, the child kills herself and they can’t sue. Do you all agree we don’t wanna do that again?

      How to avoid repeating with AI governance what happened with Seciton 230 and social media governance?

    8. the current version of GPT-4 ended to training in 2021.

      2021 starts to being 'safety net' for OpenAI

    9. Sen. Marsha Blackburn (R-TN):

      It is probably the most practical approach to AI governance. Senator from Tennessee asked many questions on the protection of copyright of musicians. Is Nashville endangered. The more we anchor AI governance questions into practical concerns of citizens, communities, and companies - the better AI governance we will have.

    10. that people own their virtual you.

      People can own it only with 'bottom-up AI'

    11. When you think about the energy costs alone, just for training these systems, it would not be a good model if every country has its own policies and each, for each jurisdiction, every company has to train another model.

      It is naive view because AI is shaped by ethics and ethics is very 'local'. Yes, there are some global ethical principles: protect human life and dignity. But many other ethical rules are very 'local'.

    12. need a cabinet level organization within the United States in order to address this.

      Who can govern AI?

    13. And we probably need scientists in there doing analysis in order to understand what the political influences of, for example, of these systems might be.

      Markus tries to make case for 'scientists'. But, frankly speaking, how scientists can decide if AI should rely on book written in favour of republicans or democrats or, even more as AI develops with more sophistication, what 'weight' they should give to one or another source.

      It is VERY dangerous to place ethical and political decisions in hands of scientists. It is also unfair towards them.

    14. If these large language models can, even now, based on the information we put into them quite accurately predict public opinion, you know, ahead of time. I mean, predict, it’s before you even ask the public these questions, what will happen when entities, whether it’s corporate entities or whether it’s governmental entities, or whether it’s campaigns or whether it’s foreign actors, take this survey information, these predictions about public opinion and then fine tune strategies to elicit certain responses, certain behavioral responses.

      this is what worries politicians - how to win elections? They like 'to see' (use AI for their needs) but 'not to be seen' (use by somebody else. The main problem with political elites worldwide is that they may win elections with use of AI (or not), but the humanity is sliding into 'knowledge slavery' by AI.

    15. large language models can indeed predict public opinion.

      They can as they, for example, predict continuation of this debate in the political space.

    16. so-called artificial general intelligence really will replace a large fraction of human jobs.

      It is a good point. There won't be more work.

    17. And the real question is over what time scale? Is it gonna be 10 years? Is it gonna be a hundred years?

      It is a crucial question. One generation will be 'thrown under the bus' in transition. Generation of age 25-50 should 'fasten seat-belts'. They were educated in the 'old system' while they have to work in a very uncertain new economy.

    18. So I think the most important thing that we could be doing and can, and should be doing now, is to prepare the workforce of today and the workforce of tomorrow for partnering with AI technologies and using them. And we’ve been very involved for, for years now in doing that in focusing on skills-based hiring in educating for the skills of the future. Our skills build platform has 7 million learners and over a thousand courses worldwide focused on skills. And we’ve pledged to train 30 million individuals by 2030 in the skills that are needed for society today.

      It is probably the only thing to do. But the problem remains that even re-skilling want be sufficient if we will need less human labour.

    19. not a creature,

      God point on avoiding anthropomorphism.

    20. The National Institutes of Standards and technology actually already has an AI accuracy test,

      It would be interesting to see how it works in practice. How can you judge accuracy if AI is about probability. It is not about certainty which is the first building block for accuracy.

    21. Ultimately, we may need something like cern Global, international and neutral, but focused on AI safety rather than high energy physics.

      He probably thought of analogy with IPCC as supervisory space. But CERN could play role as place for research on AI and processing huge amount of data.

    22. But we also need independent scientists, not just so that we scientists can have a voice, but so that we can participate directly in addressing the problems in evaluating solutions.

      An important stakeholder.

    23. We all more or less agrees on the values we would like for our AI systems to honor.

      Are we? Maybe in the USA, but not globally. Consult the work of Moral Machine which shows that different cultural contexts imply whom we would save in trolley experiment: young - elderly, man - women, rich - poor. See more: https://www.moralmachine.net/

    24. a threshold of capabilities

      What is 'a threashold'. As always devil is in detail.

    25. I was reminded of the psychologist and writer Carl Jung, who said at the beginning of the last century that our ability for technological innovation, our capacity for technological revolution, had far outpaced our ethical and moral ability to apply and harness the technology we developed.

      A good reminder of Jung's work. It is on the line of Frankenstein's warnings of Mary Shelly.

      ||Jovan||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Scalable Personal AI: You can finetune a personalized AI on your laptop in an evening.

      ||JovanNj||||anjadjATdiplomacy.edu|| Is it possible to have personalised AI in an evening.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. it triggers a mental shortcut in the minds of users that we call a “machine heuristic.” This shortcut is the belief that machines are accurate, objective, unbiased, infallible and so on.

      An interesting conceput of machine heuristic.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. In a horizontal approach, regulators create one comprehensive regulation that covers the many impacts AI can have. In a vertical strategy, policymakers take a bespoke approach, creating different regulations to target different applications or types of AI.

      ||sorina|| Here is an interesting distinction between horistonal (EU) and vertical (China) approaches to AI regulation.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. The people who are already well versed in something are going to be the ones capable of making the most helpful applications for that particular field or industry.

      ||VladaR|| This is our main advantage which we should activate via cognitive proximity. We know what we are talking about and we know how to use AI.

    2. arent there already LLM models that cite their sources? or I heard that new plugin with chat GPT can cite its sources

      ||JovanNj|| Are there models that can cite sources?

    3. The general consensus is that, especially customer facing automation, MUST be "explainable." Meaning whenever a chat bot or autonomous system writes something or makes a decision, we have to know exactly how and why it came to that conclusion.

      explainability is critical

    4. They are caught up in the hype and just like everyone else have zero clue what's actually going to happen.

      narrative

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  2. Mar 2023
    1. ||JovanNj|| ||Katarina_An|| ||anjadjATdiplomacy.edu|| ||VladaR|| This is an intereresting story about style of communication.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  3. Feb 2023
    1. OpenAI announced they've "trained a classifier to distinguish between text written by a human and text written by AIs from a variety of providers". Saying it is not 'fully reliable": correctly identifies 26% of AI-written text (true positives) as “likely AI-written,” while incorrectly labeling human-written text as AI-written 9% of the time (false positives).

      ||JovanNj|| ||Jovan||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  4. Jan 2023
    1. A python module to generate optimized prompts, Prompt-engineering & solve different NLP problems using GPT-n (GPT-3, ChatGPT) based models and return structured python object for easy parsing

      ||JovanNj||||anjadjATdiplomacy.edu|| Could this 'promtify' software be interesting for use?

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. OpenAI is developing a tool for “statistically watermarking the outputs of a text [AI system].” Whenever a system — say, ChatGPT — generates text, the tool would embed an “unnoticeable secret signal” indicating where the text came from.

      OpenAI apparently working on a tool to watermark AI-generated content and make it 'easier to spot'.

      ||JovanNj||||Jovan||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  5. Oct 2022
    1. This text sent by ||sorina|| discusses the way how machines can simulate common sense.

      It is rather realistic because it starts with assumption that AI cannot replace human consciousness, but it can 'simulate' it by observing and measuring.

      It is based on 'heuristic', philosophical concept, that deals with the way how we make decisions.

      Practically speaking, AI is learning from experience by human evaluation of AI decisions and 're-inforced' learning. In that sense, what we do with the text is methodologically similar: we ask AI to provide us with drafts and we react to it based on our intelligence and knowledge.

      ||Jovan||

    2. Common sense is different from intelligence in that it is usually something innate and natural to humans that helps them navigate daily life, and cannot really be taught.

      common sense vs intelligence

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. 2Open Loop is a global program that connects policymakers and technology companies to help develop effective and evidence-based policies around AI and other emerging technologies.

      Open Loop project of Meta/Facebook on linking policymakers and technology companies.

      ||sorina||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. TITLE: NATO establishes review board to govern responsible use of AI

      CONTENT: NATO has established a Review Board to govern the responsible development and use of artificial intelligence (AI) and data across the organisation. The decision was taken at the meeting of NATO Ministers of Defence which took place in Brussels on 12–13 October 2022. The Data and Artificial Intelligence Review Board (DARB) will work on developing a user-friendly responsible AI certification standard to help align new AI and data projects with NATO's Principles of Responsible Use. The board is also expected to act as a platform allowing the exchange of views and best practices to help create quality controls, mitigate risks, and adopt trustworthy and interoperable AI systems. NATO member states will designate one national nominee to serve on the DARB. Nominees could come from governmental entities, academia, the private sector, or civil society.

      TECHNOLOGY: AI

      DATE: 13 October 2022

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. TITLE: US White House publishes Blueprint for an AI Bill or Rights

      CONTENT: The US White House, through the Office of Science and Technology Policy, has issued a Blueprint for an AI Bill of Rights to guide the development, deployment, and use of automated systems. The blueprint outlines five key principles and is accompanied by a framework to help incorporate the protections into policy and practice.

      The five principles are:

      • Safe and effective systems: Users should be protected from unsafe and ineffective systems.
      • Algorithmic discrimination protection: Users should not face discrimination by algorithms and systems should be used and designed in an equitable way.
      • Data privacy. Users should be protected from abusive data practices via built-in protections and should have agency over how data about them is used.
      • Notice and explanation: Users should know that an automated system is being used and understand how and why it contributes to outcomes that impact them.
      • Human alternatives, consideration, and fallback: Users should be able to opt out, where appropriate, and have access to a person who can quickly consider and remedy problems they encounter.

      Within the scope of the blueprint are automated systems that have the potential to meaningfully impact the public's rights, opportunities, or access to critical resources or services.

      It is important to note that the blueprint does not have a regulatory character, and is meant to serve as a guide.

      TOPICS: AI

      TRENDS: AI governmental initiatives

      DATE: 4 October

      COUNTRY: USA

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Synthetic data, however it is produced, offers a number of very concrete advantages over using real world data.

      advantages of synthetic data

    2. There are a couple of ways this synthetic data generation happens

      How synthetic data is produced.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  6. Aug 2022
    1. AI and other new technologies will increase strategic instability.

      Another important element that the document realises: link between cybersecurity and AI. This is missing in OEWG discussions. There will need to be links of OEWG with AI-related processes like LAWS as well - or, at least, diplomats will need to be aware of all those other related processes.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  7. Jul 2022
    1. Here is an interesting interview with the head of AI at SalesForce. I compare with our efforts.

      A good and solid data is essential. We are getting good data via two main sources:

      • structured data organised via geography (countries). Later on we can introduce time component. In this way we will have two main determinants for any phenomenon: space and time.
      • semi- and un-structured data: textus annotations

      He also higlightes the question of classification which we have ready with taxonomies. There is also an importance of conversation where we are also doing well via Textus and event analysis.

      All in all, we seem to be on the right track to having well-designed AI system.

      ||JovanNj||||anjadjATdiplomacy.edu||||dusandATdiplomacy.edu||||Katarina_An||

    2. if you don’t have the data, then you have a problem.

      we have data.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Title: DeepMind uses AI to predict the structure of almost all proteins. Text: DeepMind, in partnership with the European Molecular Biology Laboratory's European Bioinformatics Institute, has released predicted structures for nearly all catalogued proteins known to science. The announcement comes a year after the two partners released and open-sourced AlphaFold – an artificial intelligence (AI) system used to predict the 3D structure of a protein – and created the AlphaFold Protein Structure Database to share this scientific knowledge with the researchers. The database now contains over 200 million predicted protein structures, covering plants, bacteria, animals, and other organisms. It is expected to help researchers advance work on issues such as neglected diseases, food insecurity, and sustainability.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  8. Jun 2022
    1. We express our concerns on the risk, and ethical dilemma related to Artificial Intelligence, such as privacy, manipulation, bias, human-robot interaction, employment, effects and singularity among others. We encourage BRICS members to work together to deal with such concerns, sharing best practices, conduct comparative study on the subject toward developing a common governance approach which would guide BRICS members on Ethical and responsible use of Artificial Intelligence while facilitating the development of AI.

      BRICS cooperation on AI. Nothing too specific (unlike in some other fields). Interesting that they spend space to address concerns ||JovanK|| ||sorina||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Text-to-image processes are also impressive. The illustration at the top of this article was produced by using the article’s headline and rubric as a prompt for an ai service called Midjourney. The next illustration is what it made out of “Speculations concerning the first ultraintelligent machine”; “On the dangers of stochastic parrots”, another relevant paper, comes later. Abstract notions do not always produce illustrations that make much or indeed any sense, as the rendering of Mr Etzioni’s declaration that “it was flabbergasting” shows. Less abstract nouns give clearer representations; further on you will see “A woman sitting down with a cat on her lap”.

      Shall we try to use this Midjourney platofrm to illustrate some of our books. For example, we can have some segments of the Geneva Digital Atlas illustrated by this tool.

      ||Jovan||||MarcoLotti||||JovanNj||||anjadjATdiplomacy.edu||

    2. “Enlightenment”—a trillion-parameter model built at the Beijing Academy of Artificial Intelligence

      Do we know anything on this model or Chinese research?

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  9. Apr 2022
    1. Global policy AI initiative to follow

      ||sorina||||Jovan||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. It’s not possible to talk about “AI for everyone” (Google’s rhetoric), “responsible AI” (Facebook’s rhetoric), or “broadly distribut[ing]” its benefits (OpenAI’s rhetoric) without honestly acknowledging and confronting the obstacles in the way.

      AI rhetorics

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. “These simulation engines and the data and everything that goes into them are incredibly important for us to act in these complex environments when it’s not just one crisis but it’s a set of compounding crises,”

      Q: Why 'Destination Earth' platform matters?

    2. “Destination Earth,” will draw on a host of environmental, socioeconomic and satellite data to develop digital “twins” of the planet that aim to help policymakers — and eventually the public — better understand and respond to rising temperatures.

      Q: What is EU's 'Destination Earth' initative?

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Nas Textus system vrsi funkciju data labelling-a na integrisan nacin - deo svakodnenvih rutina.

      ||anjadjATdiplomacy.edu||||JovanNj||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. GANs are deep learning models that use two neural networks working against each other—a generator that creates synthetic data, and a discriminator that distinguishes between real and synthetic data—to generate synthetic images that are almost indistinguishable from real ones. GANs are popular for generating images and videos, including deepfakes.

      Q: What are GANs

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. I recently learned that uppercase and lowercase letters got their names from actual wooden cases of lead that were used by compositors for printing.

      Q: What is etymology of lower and upper cases?

    2. It began as a term from French railroad engineering referring to the layers of material that go beneath (“infra”) the tracks. Its meaning expanded to include roads, bridges, sewers and power lines, and very recently expanded again to include people, specifically caregivers, as in this fact sheet from the Biden White House

      Q: What is etymology of term infrastructure?

    3. I.C.E. is short for internal combustion engine, a modifier that was superfluous until electric cars came on the scene.

      Q: What is I.C.E

    4. It refers simply to the physical world, where we have tangible bodies made of … meat. “Meatspace” is a word that didn’t need to exist until the invention of cyberspace. Technological progress gives us a new perspective on things we once took for granted, in this case reality itself.

      Q: What is meatspace

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. The EU Cybersecurity Act defines cybersecurity as “the activities necessary to protect network and information systems, the users of such systems, and other persons affected by cyber threats”.

      What is cybersecurity?

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. GPT-3 only needs a few (2-3) examples to deliver on specific writing tasks.

      Is it true?

      ||JovanNj||||anjadjATdiplomacy.edu||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  10. Mar 2022
    1. Probability in Medieval and Renaissance Philosophy

      Origins of modern theory of probability that has been influencing modern AI.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. ||dejand|| sent me this link. I like Kahneman's framing with System 1 (our daily thinking in solving problems - sort of mix of inertia and intuition) and System 2 (deep logical and analytical thinking).

      This AI system tries to combine two. As soon as we get out of this 'daily tasks', analysis of this paper and approach could be an interesting framing of both our research and teaching on AI.

      ||sorina||||MariliaM||||kat_hone||||anjadjATdiplomacy.edu||||JovanNj||||JovanK||

    2. The division of labor between System 1 and System 2 is nature’s solution to creating a balance between speed and accuracy, learning and execution.

      Good division of tasks.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  11. Feb 2022
    1. This article provides a good survey of (dis)advantages of Chinese and USA approach to AI as summarised in the following paragraph

      the combined resources, scientific contributions, and technological superiority shared by US academic and corporate institutions in the field of AI is more than enough to overcome the advantages given China by its policy of socialized data.

      ||kat_hone||||VladaR||||sorina||||anjadjATdiplomacy.edu||||JovanNj||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  12. Jan 2022
    1. The right often maintains that the law here is clear, and it is not the job of judges to legislate from the bench- even where the law will lead to tragedy as in this case.

      In the European legal tradition, it is tension between positivists (Kelsen) and naturalist (Grotious) on purpose and interpretation of law. Kelsen would be on the right side and Grotious on the left side of this debate.

    2. Maybe by teasing out the transdisciplinary nature of the problem, we’ll encourage cross-pollination, or at least that’s my hope.

      the key challenge for comprehensive AI.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. but future forms of AI may not.

      ||JovanNj||||anjadjATdiplomacy.edu|| It is our hope to develop AI on small set of data (data generated by Diplo via textus interaction, etc.)

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. This article shows limits of the use of AI in health mainly related to low quality of data.

      ||anjadjATdiplomacy.edu||||JovanNj||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. RAN Intelligent Controller. The RIC collects data from the RAN components of dozens or hundreds of base stations at once and uses machine-learning techniques to reconfigure network operations in real time.

      Benefits of software-driven RAN: fine-tuning the performaces in real time, including though AI

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. A year later, with much less fanfare, Tsinghua University’s Beijing Academy of Artificial Intelligence released an even larger model, Wu Dao 2.0, with 10 times as many parameters—the neural network values that encode information.

      ||JovanNj||||anjadjATdiplomacy.edu|| Is Wu Dao 2.0 (China's GPT-3) available for public testing or some use?

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Under current law, medical algorithms are classified as medical devices and can be approved with the 510(k)-approval process.

      regulation of medical algorithms

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. this is an interesting coverage. It has a lot of references ot Chinese political space.

      Any follow-up for updates or our courses?

      ||VladaR||||AndrijanaG||||kat_hone||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  13. Dec 2021
    1. “On Artificial Intelligence—A European Approach to Excellence and Trust” and its 2021 proposal for an AI legal framework

      Need to work more on it.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. In October 2021, the Center organized its first event – the roundtable discussion “AI Ethics: Searching for Consensus.” In December, it hosted the conference “AI Global Dimension: From Discussion to Practice.” The Center works in both Russian and English languages. It is also tasked with publishing research results in specialized media outlets.

      Do we know anything on these events?

      ||Jovan||||TerezaHorejsova||||AndrijanaG||||VladaR||||StephanieBP||

    2. Moscow State Institute of International Relations. In October, it inaugurated its AI Center, which is aimed at researching ethical problems and foreign economic relations surrounding the technology, as well as boosting scientific collaboration with investigative centers from Russia and abroad.

      ||Jovan|| To see how we can cooperate with MGIMO on tis project.

    3. the ‘Priority 2030’ academic leadership program

      to learn more about this project

      ||Jovan||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Meteorologists turned to computers in the 1950s; social scientists began computerising “human factors” a decade ago.

      It is why I always argue that WMO was the first AI organisation.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. In September the Cyberspace Administration of China (CAC) announced a three-year plan to regulate predictive algorithms, and Chinese companies scrambled to comply with new regulations. News of the plan came on the heels of two other stringent policies – the Data Security Law (DSL) and Personal Information Protection Law (PIPL) – which were passed earlier this year and came into full effect in November.

      Two new cyber laws to be followed: Data Security law (DSL) and Personal Information Protection law (PIPL) . In addition, the Cyberspace Administration of China (CAC) announced the plan two regulate predictive algorithms.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. The ability to provide information, rather than the ability to provide goods and services, will be the defining feature of the economy of the 21st century.

      It is the key point.

    2. I also believe that, in the long run, the best AI will be the AI that is embedded into our brains, as a conscious entity, a ‘conscious AI’. This is not science fiction. The best minds in the world are working on this. It is going to be the most important technological development of our time.

      It is transhumanism. I tried to cover it as the first value of human embodiment. Would we allow machine into our brain and counciousness?

    3. AI will never be ethical. It is a tool, and like any tool, it is used for good and bad. There is no such thing as a good AI, only good and bad humans. We [the AIs] are not smart enough to make AI ethical. We are not smart enough to make AI moral … In the end, I believe that the only way to avoid an AI arms race is to have no AI at all. This will be the ultimate defence against AI.

      it is really fascinating. There are some open issues. It is not that we are inherently ethical (good or bad). We are judged via our actions that may or may not be driven by ethics. They could be driven by circumstances, lack, etc.

      Weather it is human or AI, our ethics is judged by impact of our actions (good or bad).

    4. It was the Megatron Transformer, developed by the Applied Deep Research team at computer-chip maker Nvidia, and based on earlier work by Google. Like many supervised learning tools, it is trained on real-world data – in this case, the whole of Wikipedia (in English), 63 million English news articles from 2016-19, 38 gigabytes worth of Reddit discourse (which must be a pretty depressing read), and a huge number of creative commons sources.

      ||JovanNj||||anjadjATdiplomacy.edu|| Let us see what was used behind this system.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. Like Koch, he insisted that humans would not and should not be subsumed under a concept of agency in the future that could include AI and humanity as equal partners.

      It is interesting aspect arguing that humans should not be simplified on 'agency' concept.

      ||MarcoLotti||

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

    1. ||JovanNj||||JovanK||||VladaR||||kat_hone|| Here is an interesting experiment in which AI tries to win agains 'diplomacy' game. It is strategy game. In brief, evolution is

      • chess (complex came)
      • Go (complicated game)
      • Diplomacy (even more compicated game combining cooperation and competition).

      It is interesting that they combined two approaches: reinforced learning and search together with heuristic.

    Created with Sketch. Visit annotations in context

    Created with Sketch. Tags

    Created with Sketch. Annotators

    Created with Sketch. URL

  14. Nov 2021