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Join the generative AI revolution

From Bias to Fairness: Why Ethical AI Development is Key to Shaping a Just
Future by@victordey



New Story



FROM BIAS TO FAIRNESS: WHY ETHICAL AI DEVELOPMENT IS KEY TO SHAPING A JUST
FUTURE

by Victor Dey


VICTOR DEY


@VICTORDEY

Victor Dey is a tech editor and writer who covers...

August 28th, 2024
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TOO LONG; DIDN'T READ

The rapid advancement of AI demands a shift towards ethical development
practices. Concerns around privacy, bias, and fair access to AI technologies
have transformed the notion of ethical AI development from a trend into an
urgent imperative. A global governing body for AI ethics does not yet exist.

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VICTOR DEY

@victordey

Victor Dey is a tech editor and writer who covers A.I., crypto, data science,
metaverse and cybersecurity.

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The rapid advancement of AI demands a shift towards ethical development
practices to address privacy, bias, and accessibility concerns while fostering
transparency and trust.




With the rapid advancement of technology, Artificial intelligence (AI) evolved
from a supporting technology to a cornerstone of modern innovation and
productivity — accelerating growth across industries. Yet, with the rise of such
next-gen systems comes a growing concern: are AI systems being developed
ethically?




With AI systems inching closer and closer to becoming an integral part of our
daily lives, pressing concerns around privacy, bias, and fair access to AI
technologies have transformed the notion of ethical AI development from a trend
into an urgent imperative.

Even though a global governing body for AI ethics does not yet exist, the
adoption of ethical AI development practices is crucial for mitigating
substantial risks associated with AI.




Protecting Data in an AI-Driven World




Data privacy is one of the most rapidly emerging ethical challenges in AI
development. As AI systems heavily rely on data, often, the process of
collecting, storing and use of this data raises significant privacy concerns
among consumers. For example, tech giant IBM found itself amidst controversy
after several users of its weather app accused the company of tracking and
leaking sensitive personal data — without their consent.




Stringent safeguards around processing sensitive information not being present
can lead to breaches that eventually erode public trust in the technology.
Therefore, organizations and developers can avoid legal mishaps by inculcating
ethical data collection practices and prioritizing user agreement on transparent
data handling, access control, and data deletion policies.




These methods can assist preserve user information and build public trust in the
AI system's ability to fairly maintain privacy rights.


CREATING FAIR AND INCLUSIVE AI SYSTEMS

Bias in AI models has been a re-occurring issue over the past few years that
demands significant attention. When biased or skewed data unknowingly seeps into
the training process of AI algorithms, it often leads to the system producing
results that can aggravate existing social inequalities. For instance,
AI-powered healthcare company Optum was scrutinized by regulators after
allegations of its AI app’s algorithm prioritizing white patients over black
patients who obtained doctor appointments for more serious health concerns weeks
before. This incident highlighted the need for human oversight and diverse
representation in datasets being utilized during AI model development.




To address such bias, it is essential to include a diverse set of data during
the AI training stage and consistently monitor the system for unintended biases.
Developers should also follow AI governance frameworks for model development
inclusive of policies, best practices and standards to create a balanced and
equitable solution.




Ensuring that the AI tool/platform is accessible to an individual or
organization regardless of their expertise or social status is another important
ethical consideration. This can be accomplished by creating open-source projects
— where diverse voices can participate to guide development as well as
governance of the AI ecosystem.


BUILDING AN ETHICAL AI-DRIVEN FUTURE THROUGH ICP

A major concern regarding centralized AI platforms, such as OpenAI’s GPT or
Google Gemini, is the risk they pose to user data. Most centralized AI platforms
often store user data on company servers; diminishing access control over his or
her information. However, integrating smart contracts during the development
phase of AI models can aid in improved user privacy and security through
decentralized storage.




The Internet Computer Protocol (ICP) platform enables the development of
sophisticated ethical AI systems using decentralized AI technologies. ICP
architecture provides developers the ability to run AI training and inference as
smart contracts on-chain while powering the computational needs of an AI model
and ensuring security with tamper-proof mechanisms and governance protocols.




For example, developers can use ICP to realize decentralized storage and provide
users with greater control over their information. Open-source projects can also
be repurposed to write smart contracts for secure and efficient AI inference.




Through its range of user-friendly tools and frameworks, the platform aims to
lower the entry barrier and enable a wide range of users to interact with AI
technologies. Moreover, inculcating decentralized governance methods during the
development phase allows creators to take into account a diverse range of
perspectives to train AI models and reduce the possibility of biased outcomes,
leading to greater transparency within their AI model ecosystem. On its official
page, ICP asserts that the platform will soon enable access to AI hardware
including GPUs, to supercharge AI models and their development capabilities via
parallel processing.




The ICP platform serves as a leading example that despite its complexity, the
path to ethical AI development could be shaped through collaborative efforts by
developers, users, and policymakers; leading to a future where AI is developed
for the greater good of our society.



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ABOUT AUTHOR

Victor Dey@victordey
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TOPICS

web3 #decentralize-ai #ai-ethics #ai-bias-mitigation #responsible-ai-development
#internet-computer-protocol #ai-governance-frameworks #ai-data-privacy
#ai-privacy-concerns

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