53 Matching Annotations
  1. Apr 2022
    1. This distinction often plays an important role in discussions on how to govern AI.

      Achieving regulation is the goal, humanizing artificial intelligence is the greatest challenge of our era.

    2. is crucial to consider the distinction between human rights and ethics.
    3. The role of the state is to strike a balance between freedom and protection, rights and responsibilities.
    4. Courts continue to interpret existing laws and fill gaps when norms do not exist, constituting de facto makers of digital rules

      The jurisprudence is evident in trying to interpret, that is not its function, the true function is to regulate, for which a mechanism will have to be designed that makes clear the route of application and not that of interpretation.

    5. Finally, we consider the distinction between ethics and human rights.

      It is evident and relevant to thoroughly review whether AI is capable of differentiating ethical decision-making processes.

    6. We also add remarks on the role of the state with regard to its primary responsibility for upholding human rights.
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    1. The use of AI by military sectors to power autonomous weapons has encountered significant criticism.
    2. Technology is not intrinsically good or bad but rather a mirror of human intentions.
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    1. Can you think of other advantages of introducing autonomous weapons on the battlefield?

      It is not to look at or define battles, it is to avoid them by all means, we are the only species and the only one that kills itself.

    2. Do you agree that fully autonomous weapons could help to address the problems mentioned?

      Ai must resolve conflicts, not process autonomous weapons.

    3. Drones with some autonomous capabilities are being used in the context of the ongoing conflict in Ukraine (Khan, 2022).

      An eclectic conflict.

    4. Object detection and facial recognition, for instance, can be used by an autonomous weapon to navigate through space and identify a target.
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    1. exfiltration of data
    2. phishing was the most common type of cybercrime in 2020
    3. In the context of the COVID-19 pandemic, cybercriminals significantly exploited the vulnerabilities caused by the shift to remote work.
    4. Phishing
    5. In the context of the internet of things (IoT), cross-platform malware would allow infections to spread quickly across multiple devices, making detection and removal more difficult.

      The IoT are tools that must constantly evolve in data protection.

    6. The longer the malware stays undetected inside a host, the more it learns, and the more efficient it becomes in operating independently.
    7. Semantic analysis and object recognition will be particularly useful in targeting victims.
    8. The technology could represent a paradigm shift in the field of cybersecurity in the near future (
    9. Estimates of the annual costs of cybercrime for the global economy vary, but the prevailing trend is that the average cost of a cyberattack for the victim and the reward obtained by attackers have both been increasing over time (O’Connor, 2018).
    10. Different actors define cybersecurity in different ways. The Global Cyber Definitions Database, for example, contains over 400 political definitions of cybersecurity and information security.
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    1. Due to this uncertain future, redistribution policies may be necessary to ensure that AI brings social and economic improvements for all.

      This context is measured from the business vision, when it must be analyzed and executed from public action, that is, from the government to implement mechanisms that generate legal certainty.

    2. This could be explained by ‘Moravec’s Paradox’, which states that ‘high-level reasoning requires very little computation, while low-level sensor-motor skills require enormous computational resources’
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    1. What new jobs are likely to be created? And what jobs are likely to disappear?

      Those who do not adapt to AI, financial operators, mobility operators will disappear.

      It will give way to works immersed in the arts, in history, in culture, in philosophy, in sports and in the development of knowledge of space and the universe, in life on other planets.

    2. In your opinion, will the net effect of AI on jobs point towards disruption or transformation in your country or professional sector?

      It is headed for transformation. One of the advantages of developing countries is that we can learn from what didn't work in developed countries; It's the Michael Jordan effect, mistakes lead to success.

    3. This last scenario is known as ‘augmentation’ – a case in which AI is used as a tool to enhance workers’ capacities.
    4. The Human Development Report 2019 argues that automation and AI do not have to reduce the demand for labour, and that instead they ‘can be leveraged to create new tasks – a reinstatement effect, which would counter the displacement effect’ (UNDP, 2019).
    5. ‘disruption’ and ‘transformation’
    6. As a consequence, economists are engaged in considerable debate about the extent to which AI will destroy and create jobs.

      I believe that the concerns are still the same concepts that have led us to the human catastrophe, it is time to use AI to make the quantum leap, if we do not face this moment, we will continue to be prey to what we have created.

    7. As a consequence, economists are engaged in considerable debate about the extent to which AI will destroy and create jobs.
    8. AI is the subject of concerns raised amongst policy makers and workers, especially with regard to job automation and its potential impact on inequality.

      It should not worry about what can be solved, if we see AI as an obstacle for the era of the super human to advance, we will continue in the utopian idea of ​​creating mental models rather than adaptable models.

    9. AI is the subject of concerns raised amongst policy makers and workers, especially with regard to job automation and its potential impact on inequality.
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    1. Do you think this is how a fifth industrial revolution could/should look? Why, or why not?

      I see a digital, economic, environmental revolution and a unification of the species. I do not mention it as the fifth, that is already there and it is after the pandemic, I see a sixth revolution in which everything adapts and beyond seeing machines and humans dance, I see the reconstruction of everything.

    2. Do you think this is how a fifth industrial revolution could/should look? Why, or why not?
    3. Should we start thinking about the fifth industrial revolution?

      We should already be in the sixth revolution, and it is not the industrial one, it is the one of technology.

    4. Should we start thinking about the fifth industrial revolution?
    5. The application of advanced technologies in the field of industrial production has been called ‘Industry 4.0’, ‘smart manufacturing’ or ‘smart production’. Industry 4.0 combines hardware (advanced robots and 3D printers), software (big data analytics, cloud computing, and artificial intelligence), and connectivity (the Internet of Things) (UNIDO, 2020).

      It is the stage of creating super knowledge, super economy, super education and that of super humans.

    6. The application of advanced technologies in the field of industrial production has been called ‘Industry 4.0’, ‘smart manufacturing’ or ‘smart production’. Industry 4.0 combines hardware (advanced robots and 3D printers), software (big data analytics, cloud computing, and artificial intelligence), and connectivity (the Internet of Things) (UNIDO, 2020).
    7. the revolutionary nature of the current transformations in the economy and society stems from (a) the unprecedented speed of economic and social change; (b) the fact that technological convergence is disrupting almost every industry; and (c) the systemic impact of the changes, which touch upon systems of production, management, and governance.
    8. convergence of technologies
    9. The impact that AI is expected to have on economic growth and gross domestic product (GDP) is similar to the impact of other general-purpose technologies that underpinned previous industrial revolutions
    10. ‘fourth industrial revolution’.

      The revolution of data-driven knowledge.

    11. ‘fourth industrial revolution’.
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  2. Mar 2022
    1. What is an algorithm?

      It is a structured language for a specific purpose which feeds on mathematical knowledge.

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    1. It is the way we are developing human super intelligence, capable of creating super artificial intelligence.

    2. Some authors make reference to a potential third type of AI, an artificial super intelligence, which will not mimic human skills, but present ‘an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills’ (Bostrom, 2008). Some of the concerns about the future of humanity in relation to AI, such as those voiced by Tesla founder Elon Musk, are based on the idea of artificial super intelligence. Nevertheless, there is a lot of disagreement about how likely it is that current human intelligence can be surpassed or even matched.
    3. I completely differ from Vint Cerf, there can not be an artificial idiot, it would be erratic to mention it that way, because the creation of artificial intelligence is derived from human intelligence which designs and models algorithms with specific functions, being human intelligence who develops it, it can not be artificial idiot, otherwise humans would be from origin.

    4. What do you think about Cerf’s statement? Would you like to adopt the phrase ‘artificial idiot’ to describe AI?
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    1. Is there a definition of AI that you prefer? Are you aware of any definitions used by individuals or organisations that are very different from the ones we have mentioned?

      Artificial intelligence is a tool made up of a structured mathematical language that is fed by constant processes and analysis to predict actions.

      Ph.D. Hugo Isaak

    2. Whichever definition you adopt, it is important to keep three things in mind. AI is (a) a moving target, (b) a suitcase or umbrella term for various aspects of computer science, and (c) a general-purpose technology.

      I would also add a methodology for habitat with strategic urban planning.

    3. AI is ‘the scientific study of the computational principles behind thought and intelligent behaviour’ (Skilton & Hovsepian, 2018, p. 80).

      It is neither the beginning nor the end, it is the beginning of the revolution of life.

    4. It is necessary to point out that the concept of artificial intelligence comes from the first civilizations, from my knowledge and analysis, AI has accompanied us all the time, because every invention, every tool developed to solve needs and problems is part of the applied artificial intelligence, today we coin it to the digital era and the algorithms that are designed for certain purposes, therefore, the concept should be, artificial intelligence is the set of tools that have evolved with the human being through time and that today are adapted to the digital era.

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