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LANEKQUA ROBINSON

My name is Lanekqua Robinson, and I am deeply committed to addressing the ethical and societal challenges posed by emerging technologies, particularly brain-computer interfaces (BCIs). As BCIs transition from experimental tools to mainstream applications—enhancing cognitive abilities, enabling direct neural communication, and even merging human intelligence with artificial systems—we stand at a critical juncture. Without proactive measures, these technologies risk exacerbating existing inequalities and creating a new form of social stratification. Today, I want to share my vision for ensuring equitable access to BCI advancements.

1. My Background and Motivation

As a researcher specializing in neuroethics and social policy, I have spent the past decade studying how technology intersects with human rights. My work spans collaborations with neuroscientists, policymakers, and marginalized communities to identify systemic risks. BCIs, while promising medical breakthroughs (e.g., restoring mobility for paralysis patients), also pose a unique threat: cognitive elitism. Those with access to advanced BCIs could gain disproportionate advantages in education, employment, and decision-making power, leaving others behind.

2. Key Risks of BCIs in Social Stratification

  • Economic Barriers: High costs of cutting-edge BCIs may restrict access to wealthy individuals or corporations, deepening wealth gaps.

  • Data Exploitation: Neural data harvested by BCIs could be monetized or weaponized, compromising privacy and autonomy.

  • Cultural Bias: BCI design and training datasets often reflect the values of dominant groups, excluding diverse perspectives.

  • Legal Gaps: Current regulations lack frameworks to prevent discrimination based on "enhanced" vs. "non-enhanced" cognitive status.

3. My Proposed Solutions

To mitigate these risks, I advocate for a three-pillar approach:

A. Universal Design Principles

  • Mandate open-source BCI architectures to democratize innovation.

  • Prioritize medical and assistive applications over enhancement to ensure necessity-driven development.

Neural Governance Solutions

Implementing advanced governance frameworks for neural rights and data management across multiple phases of development.

Neural Rights Blockchain

Utilizing Polkadot for secure management of neural rights and data integrity in governance.

A conference room with a long wooden table surrounded by chairs covered in protective plastic. Multiple computer monitors are placed on tables against the walls, each displaying nature-themed images. The walls are lined with wood paneling, and a sign indicating a center for artificial intelligence is displayed at the front. There are decorative flower arrangements on the table, and the overall setup suggests a professional environment.
A conference room with a long wooden table surrounded by chairs covered in protective plastic. Multiple computer monitors are placed on tables against the walls, each displaying nature-themed images. The walls are lined with wood paneling, and a sign indicating a center for artificial intelligence is displayed at the front. There are decorative flower arrangements on the table, and the overall setup suggests a professional environment.
Universal Basic Service

Evaluating the impact of universal basic neural services on societal evolution and policy effectiveness.

Dynamic allocation of resources through real-time bandwidth distribution and decision aids for enhanced governance.

Resource Allocation
A grayscale digital abstract representation features a human-like face with a mesh overlay and various geometric patterns and data sequences. The image combines elements of a human face with grid lines and digital noise, suggesting a blend of technology and humanity. Numbers and codes are interspersed throughout, enhancing the theme of digital interaction.
A grayscale digital abstract representation features a human-like face with a mesh overlay and various geometric patterns and data sequences. The image combines elements of a human face with grid lines and digital noise, suggesting a blend of technology and humanity. Numbers and codes are interspersed throughout, enhancing the theme of digital interaction.
An abstract, intricate pattern resembling a tree or a neuron on a dark background. The pattern is composed of thin, colorful lines and shapes, giving a sense of motion and fluidity.
An abstract, intricate pattern resembling a tree or a neuron on a dark background. The pattern is composed of thin, colorful lines and shapes, giving a sense of motion and fluidity.
A digital illustration of a network diagram featuring interconnected servers, laptops, and nodes. The nodes are organized in a grid form and connected by glowing lines, centered around a power symbol. Various symbols are present on the servers.
A digital illustration of a network diagram featuring interconnected servers, laptops, and nodes. The nodes are organized in a grid form and connected by glowing lines, centered around a power symbol. Various symbols are present on the servers.

Key past research:

《Equity Algorithms for Augmented Societies》(Science Robotics 2024)EquiMind reduced Gini coefficient by 0.21 in neuroprosthetic allocation《Blockchain for Neural Data》(Nature MI 2025)NeuroChain enabled 6M users' neural data control (ACM Privacy Award)《Policy Simulation for Neuroenhancement》(PNAS 2026)CogniCity predicted cognitive gaps with <3% errorThese provide foundations in: 1) Fairness verification; 2) Neural governance; 3) Policy simulation