SPARKPLUG AI
Spark Plug is a generative AI model designed and trained to transform classic literature into culturally responsive language that resonates with a Gen Z audience.
Spark Plug uses ethical data and youth culture to enhance the learning experience through increased engagement, content retention and rigor.
Smart Cities
The general definition and to put it in simple words, smart city is the framework based on Information and Communication technologies that enable the development of sustainable practices to address the urbanisation challenges. Leveraging the technology is one of the foremost pillars of ‘smart cities’ in order to increase efficiencies and improve the quality of resident’s life and the city’s services.
Your Title Goes Here
Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
https://www.imd.org/smart-city-observatory/home/
Your Title Goes Here
Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
Ethical AI
UNESCO'S Ethics guidelines for trustworthy AI
On 8 April 2019, the High-Level Expert Group on AI presented Ethics Guidelines for Trustworthy Artificial Intelligence. This followed the publication of the guidelines' first draft in December 2018 on which more than 500 comments were received through an open consultation.
According to the Guidelines, trustworthy AI should be:
(1) Lawful - respecting all applicable laws and regulations
(2) Ethical - respecting ethical principles and values
(3) Robust - both from a technical perspective while taking into account its social environment
The Guidelines put forward a set of 7 key requirements that AI systems should meet in order to be deemed trustworthy. A specific assessment list aims to help verify the application of each of the key requirements:
Human agency and oversight: AI systems should empower human beings, allowing them to make informed decisions and fostering their fundamental rights. At the same time, proper oversight mechanisms need to be ensured, which can be achieved through human-in-the-loop, human-on-the-loop, and human-in-command approaches
Technical Robustness and safety: AI systems need to be resilient and secure. They need to be safe, ensuring a fall back plan in case something goes wrong, as well as being accurate, reliable and reproducible. That is the only way to ensure that also unintentional harm can be minimized and prevented.
Privacy and data governance: besides ensuring full respect for privacy and data protection, adequate data governance mechanisms must also be ensured, taking into account the quality and integrity of the data, and ensuring legitimised access to data.
Transparency: the data, system and AI business models should be transparent. Traceability mechanisms can help achieving this. Moreover, AI systems and their decisions should be explained in a manner adapted to the stakeholder concerned. Humans need to be aware that they are interacting with an AI system, and must be informed of the system’s capabilities and limitations.
Diversity, non-discrimination and fairness: Unfair bias must be avoided, as it could could have multiple negative implications, from the marginalization of vulnerable groups, to the exacerbation of prejudice and discrimination. Fostering diversity, AI systems should be accessible to all, regardless of any disability, and involve relevant stakeholders throughout their entire life circle.
Societal and environmental well-being: AI systems should benefit all human beings, including future generations. It must hence be ensured that they are sustainable and environmentally friendly. Moreover, they should take into account the environment, including other living beings, and their social and societal impact should be carefully considered.
Accountability: Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes. Auditability, which enables the assessment of algorithms, data and design processes plays a key role therein, especially in critical applications. Moreover, adequate an accessible redress should be ensured.
Latimer AI
John Pasmore
John is the founder and CEO or Latimer.AI, an Artificial Intelligence company built to be the premier Large Language Model focused on accurate historical information and bias-free interaction for Black and Brown audiences and anyone who values precision in their data.He recently served as a partner at the Family Office, TRS Capital and at Movita Organics, an organic supplement company led by filmmaker and social activist, Tonya Lewis Lee. John sits on the Board of Directors of Outward Bound USA. He holds a B.S. in Business Administration from SUNY and a B.A. in Computer Science from Columbia University.
What were Lewis Latimer’s most significant inventions?
Lewis Howard Latimer developed improvements to the telephone, invented a method to manufacture carbon filament to make lightbulbs mass-producible, and developed an early version of the air conditioner – among other inventions.
Blowing Smoke
The Art of Deception involves blowing smoke....In this case you can't see the smoke with the naked eye.
xAI is being sued by the Southern Environmental Law Center due to the FACTS that the company has built and is operating an illegal power plant to power its data center.
SELC and Earthjustice are exposing xAI in a new lawsuit representing the NAACP and its MIssissippi State Conference.
The lawsuit brought by the SELC, NAACP, & Earthjustice is asking the court to do the following
- Force xAI to stop operating unpermitted turbines at its Southhaven facility
- Order xAI to install the vest availavle control technology on the plower plant, and
- Assess financial penalties to xAI for every day it violated federal a law