Why is important to have a global agreement on AI ethics
AI will replace humans. EY launches AI platform. There's no such thing as an "AI bubble". Why Nvidia’s AI Supremacy is Only Temporary.
The latest news and trends in the Latin American AI startup scene.
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The Bumpy Road Toward Global AI Governance
A paper published by researchers from Peking University, the Beijing Academy of Artificial Intelligence, and the University of Cambridge argues that a global agreement on AI ethics is achievable.
The paper challenges the assumption that Eastern and Western philosophical traditions are fundamentally incompatible, suggesting that misunderstandings between cultures and regions play a greater role in undermining cross-cultural trust than fundamental disagreements.
The article emphasizes the need for global cooperation in regulating AI and highlights the importance of including perspectives from regions often underrepresented in discussions. It also mentions the potential dangers of unregulated AI development and the need for ethical considerations. (Noema Magazine).
When AI Begins to Replace Humans
This article discusses the evolution of CAPTCHA and its role in training AI. CAPTCHA, which was originally used to distinguish humans from computers, has now shifted to using image recognition tasks to improve Google's AI capabilities.
It also explores the fears of AI replacing human jobs and the industries that are most likely to be impacted. It mentions the rise of AI-generated pop stars and startups that are automating tasks in fields like administration and law.
The article concludes by highlighting the historical pattern of job displacement due to technological advancements and the emergence of new jobs in response. (Digital Native)
Quick News
iProov and Cybernetica achieve collaboration that will reach LATAM
iProov and Cybernetica are collaborating to develop a multifactor authentication digital identity solution for government agencies and financial services in Europe, the Middle East, Africa, Latin America, and Asia Pacific.
The collaboration aims to develop a method that allows individuals to use their smart devices for digital signature and authentication, providing secure access to digital services.
This partnership will strengthen their position in current markets and expand into new regions. In Latin America, cybersecurity is a significant concern, and this collaboration will provide a powerful identity tool for remote enrollment. (Contxto)
EY launches AI platform and LLM after $1.4 billion investment
EY has launched EY.ai, a comprehensive platform aimed at helping clients boost AI adoption, with alliances with companies like Microsoft, Dell Technologies, IBM, and SAP.
The platform incorporates AI capabilities and investments of $1.4 billion, including the integration of AI into EY technologies and acquisitions of cloud and automation technologies.
EY.ai offers enterprise clients a "treasure map" for deploying AI confidently, providing a valid framework, assessing organizational maturity, and offering a roadmap for successful AI implementation. (VentureBeat)
VivaWell: The Healthtech Revolutionizing Healthcare Services in LATAM
Latin American Healthtech company VivaWell is revolutionizing access to healthcare and wellness services for employees.
Founded by insurtech pioneer Eduardo Iglesias, VivaWell integrates an ecosystem of health and well-being services using AI and machine learning.
The company aims to provide accessible and high-quality healthcare coverage to millions of people in Latin America. (PR Newswire)
AI to predict and prevent earthquakes
The article discusses the potential of artificial intelligence (AI) in earthquake prediction and prevention.
It highlights various studies and projects that utilize AI to analyze seismic data and detect precursor signals, such as acoustic signals, before earthquakes occur.
The article emphasizes that while AI has the potential to improve earthquake prediction and prevention, it is still not possible to accurately predict earthquakes due to the complexity of geological activity. (El Universal)
How the EU seeks to influence digital regulation in Latin America
The EU's Digital Services Act has come into effect, and its potential impact in Latin America is discussed in an interview with Maria Buzdugan, counselor for economy, industry, and digital transformation at the EU delegation in Brazil.
The interview also touches on the ongoing AI regulation debate, with Buzdugan highlighting the need for AI to be human-centric and for regulations to protect individual rights while not hindering innovation. The EU aims to have a regulation in place by the end of the year. (bnamericas)
Goldman Sachs dismisses AI bubble, predicts upcoming revolution
Goldman Sachs believes that there is no artificial intelligence (AI) bubble and instead sees an AI revolution on the horizon.
They forecast a significant increase in global investments in AI, potentially reaching $200 billion by 2025.
The surge is linked to the economic opportunities presented by generative AI, which could contribute up to $4.4 trillion to the global economy. (Cointelegraph)
Using technology to boost safety and security in Latam fleet
Experts at the upcoming Fleet LatAm Conference in Mexico City highlight the importance of integrating (AI with telematics to enhance fleet management safety and security in Latin America.
AI solutions can optimize driver behavior, predictive maintenance, fuel efficiency, theft prevention, compliance monitoring, and more. Road safety should be considered holistically, addressing issues such as duty of care, total cost of ownership, and service quality.
Telematics can help combat driver fatigue and improve driver alertness. It is crucial to continue promoting the adoption of telematics in fleet management to ensure safer roads and more efficient operations. (Globalfleet)
‘When regulating artificial intelligence, we must place race and gender at the center of the debate’
Brazilian anthropologist Fernanda K. Martins conducted research that found algorithmic discrimination on platforms like Spotify, which recommend more male artists than female artists regardless of the genre.
She advocates for a broad coalition that places race and gender at the center of the debate when discussing regulation and policies related to artificial intelligence and social media.
She emphasizes the importance of addressing inequalities perpetuated by technology platforms and calls for transparency and audits to combat disinformation. (El País)
Argentina faces pent-up cloud demand
Cloud demand in Argentina is growing rapidly, with more than half of companies processing workloads on-premise and the rest distributed across public and private cloud and outsourcing.
A recent survey found that 26% of Argentine companies see the public cloud as an investment priority for 2023. Regulation and the need to handle critical data are reasons why companies keep workloads on-premise.
AI workloads are commonly moved to the cloud, particularly customer-facing applications. The next wave of AI investment will focus on risk management, including fraud and cybersecurity. (bnamericas)
Science & Tech Key to AgriFood Systems Transformation
The Director-General of the Food and Agriculture Organization of the United Nations (FAO), QU Dongyu, emphasized the importance of science, technology, and innovation in transforming agrifood systems to be more efficient, inclusive, resilient, and sustainable.
The promising future of digital technologies will multiply with increasing breakthroughs in AI and Big Data, among others, resulting in lower costs and increased capacity in data applications. (MirageNews)
AI Education
Deep Reinforcement Learning Course
The course covers both the theory and practice of Deep RL, using popular libraries and training agents in unique environments. Here are some key areas you can expect to learn:
Deep Reinforcement Learning theory and practice.
How to use popular Deep RL libraries such as Stable Baselines3, RL Baselines3 Zoo, Sample Factory, and CleanRL.
Training agents in unique environments like SnowballFight, Huggy the Doggo, VizDoom (Doom), and classical ones like Space Invaders, PyBullet, and more.
Professional Machine Learning Engineer
Google Cloud is offering a Professional Machine Learning Engineer certification exam. This exam assesses the ability to solve business challenges using ML models and Google Cloud technologies. The exam covers various aspects of ML development, including model architecture, data pipeline interaction, and metrics interpretation.
Certified Analytics Professional (CAP)
Certified Analytics Professional (CAP) certification equips individuals with the skills to evaluate tasks, formulate approaches, and communicate actionable analysis, regardless of the software and systems used.
Food for Thought
Generative AI will account for half of game development in 5 to 10 years
Generative AI is expected to play a major role in the video game industry, growing from less than 5% of game development now to 50% or more in the next five to 10 years, according to a study by Bain & Company.
The study also highlighted the importance of human creativity in game development and the need for generative AI to be used as a tool alongside human oversight. Despite challenges such as system integration and regulatory oversight, gaming executives believe that generative AI will have a greater impact on gaming than technologies like virtual reality and cloud gaming. (VentureBeat)
Why Nvidia’s AI Supremacy is Only Temporary
The article discusses Nvidia's current dominance in the field of machine learning and predicts that its position may not be secure in the future. The author highlights several reasons for Nvidia's success, including the lack of large-scale machine learning applications in most corporations, the superiority of Nvidia's GPU platform compared to alternatives, the influence of ML researchers in hardware purchasing decisions, and the importance of training latency.
The author suggests that Nvidia's share of the AI market may decrease in the future, with traditional CPU platforms like x86 and Arm gaining more prominence. (Pete Warden’s Blog)
Answering AI’s biggest questions requires an interdisciplinary approach
The article discusses the importance of addressing ethical concerns in the field of AI. It highlights the need for companies to have a diverse team of experts, including AI and data ethicists, philosopher architects, and neuroscientists, to ensure that AI technology is developed responsibly.
The author emphasizes the importance of collaboration between different fields and the integration of critical thinking from both the humanities and the sciences. It also mentions the role of product leaders in translating ethical principles into working software. (TechCrunch)
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