The intersection of neurotechnology and AI brings promise for human flourishing in many areas and around the world, but new challenges and risks also emerge. One of these challenges is the enormous amount of data that neurotechnology obtains (i.e., neural data) that is not only being used to fuel AI but is also creating Big Data (as an entirely new, complex scenario in the massive processing of personal data and expanding the boundaries of human cognition and consciousness), which poses a threat to human dignity. The question is whether and how to regulate the collection, storage, interpretation, use, and reproduction of neural data. Therefore, prudent, ethical, proactive and relevant regulatory frameworks are needed to adequately oversee the design, development and use of neurotechnology, AI, as well as the use of derived information to protect human rights and fundamental freedoms. In response, Mexico introduced the General Law on Neurorights and Neurotechnologies (GLNN) bill, which was adapted to Mexican regulations, institutions and systems. Among other things, the GLNN introduces cyberneurosecurity to protect neural data, and focuses on transparency, integrity, non-discrimination, privacy, identity, profiling, autonomy and algorithmic bias. The GLNN sets an international precedent as a pioneering, extensive, and comprehensive national law that can serve as a potential model for the realization of regulatory frameworks on the protection of human rights against emerging threats from neurotechnology, AI and Big Data. This webinar will aim to address some ethical and human rights issues and concerns related to neurotechnologies, AI, neural data and cybersecurity, and how they have been addressed in the GLNN bill in Mexico. Learning objectives: Examine the importance, threats, and challenges of neurotechnologies, and the impact of AI on these technologies Discuss the significance and ethical implications of neural data as personal sensitive data, including its role in neurotechnologies and the associated rights. Assess the critical role of cybersecurity in protecting Human Rights and fundamental freedoms in the age of AI and neurotechnologies. Identify the benefits of regulating neurotechnology, AI and data under a framework of high ethical and human rights standards through the analysis of the Mexican Neurorights and Neurotechnology Bill. Speakers: Anahiby Becerril Professor Alianza Nacional de Inteligencia Artificial (ANIA) Karen Herrera Ferrá Founder Mexican Association of Neuroethics Luis Ricardo Sánchez Hernández General Director INAI Moderators: Alejandra Lagunes Senator Republic of Mexico The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities. AI for Good is organized by the International Telecommunication Union (ITU) – the UN specialized agency for information and communication technology – in partnership with 40 UN sister agencies and co-convened with the government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
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