Tamar Huggins
Bit2men's family roots are as educators and we have a family favorite, Tamara Huggins who has taken matters into her own capable hands to create a SPARK, or better yet to supply a SPARKPLUGAI
Lisa Gelobter
Currently serving as CTO for the City of NYC's administration as envisioned by the game changer Zohran Mamdani, Lisa is the CEO and Co-Founder of teQuitable workplace platform based in Oakland Gelobter was the Director of Program Management at Macromedia. During her time there, she led the development of Shockwave, a multimedia platform that laid the foundation for the modern web. Shockwave is a platform that supports raster graphics, vector graphics, and 3D graphics, addressing the lack of rich web interactivity at the time. A similar technology contributing to further interest in animation on the web, the Animated GIF image format, also increased in popularity at the time with support from Netscape Navigator's inclusion of looping capabilities, but Gelobter did not create the GIF format. Shockwave transformed the internet and revolutionized the animation industry, with Gelobter’s invention largely influencing subsequent technologies, like Flash and HTML5.
After Macromedia, Lisa held several executive-level positions at NBC Universal, & Hulu. From there Gelobter spent several years as the Chief Digital Officer for BET Networks.
In 2015, Gelobter served as Chief Digital Service Officer for the United States Department of Education during the Presidency of Barack Obama. In this position, she helped to improve HealthCare.gov, helping to streamline the application process. She led the team that built the College Scorecard, an online tool for comparing the cost and value of higher education institutions in the United States.
Changemakers
Everything Must Change, Nothing Stays The Same ~Quincy Jones
Some believe change is a concept whereas we believe it is a reality....
It was Heraclitus of Ephesus who argued that all things are in perpetual flux, if so the key implications are:
- Universal Flux: Everything from natural seasons to personal growth is subject to continuous transformation; permanence is considered an illusion.
- Adaptability: Accepting that change is the only constant fosters resilience allowing individuals to navigate transitions and embrace new opportunities
- Contrasting Views: While Heraclitus viewed change as fundamental, other philosopher like Parmenides argued that change is an illusion and that true reality is unchanging
IN PART 2
Objects In Motion Stay In Motion, UNTIL/OR
Women in AI
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.
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.