Alfred Ongere Alfred Ongere @ Impact_chaser Telecoms engineer - - PowerPoint PPT Presentation

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Jul 02, 2023 139 likes •297 views

Alfred Ongere Alfred Ongere @ Impact_chaser Telecoms engineer Intel Software Innovator Team lead & Founder Ai Kenya About AiKenya Ai Kenya is a community of practitioners and enthusiasts in machine learning & Data

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Alfred Ongere

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Alfred Ongere

Telecoms engineer Intel Software Innovator Team lead & Founder – Ai Kenya

@Impact_chaser

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Kenya is a community

practitioners and enthusiasts in machine learning & Data science across East Africa that come together to share knowledge & challenges in the field.

This

is done through meetups, events,

nline

discussion forums and a podcast show.

About AiKenya

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Algorithmic bias

Occurs when a computer system reflects the implicit values of its human designers in its behavior

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Illustrative examples of algorithmic bias

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May 2009

Facial recognition software by Nikon wrongly assumes people of Asian descent are blinking

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June 2015

Google photos tagging people as animals

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May 2016 - Biased recidivism against blacks

COMP AS (Correctional Offender Management Profiling for Alternative Sanctions )

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Bias may be a human problem, but amplification of bias is a technical problem — a mathematically explainable and controllable by product of the way models are trained.

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Areas to pay attention to, to minimize bias and observe ethics

Data collection – Minimize sampling bias
Data handling (GDPR)
T

erms and conditions – permissions (how data collected is used)

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How can we reduce bias in products and services we offer?

1. Advocate for explainability in models (xAI)
2. Involvement in Open audits (sharing

datasets and requesting for feedback)

3. Investing in R&D
4. Open source is your friend

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T

ols and resources to tackle bias

AI Explainability 360 T

olkit

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