2023 Black in AI Workshop

The 7th Black in AI Workshop will be co-located with NeurIPS 2023. The workshop will feature invited talks from prominent researchers and practitioners, a poster session, and a startups showcase. We invite all members of the AI community to attend the workshop.

Gelyn C. Watkins
CEO

The 7th Black in AI Workshop will be held co-located with NeurIPS 2023. The workshop will feature invited talks from prominent researchers and practitioners, a poster session, and a startup showcase. We invite all members of the AI community to attend the workshop.

Black in AI Funders

Rockefeller Foundation
MacArthur Foundation
Patrick J McGovern Foudnation
Ford Foundation
Sloan Foundation
Etsy
GSK
Microsoft

Important Information

Black in AI 2023 - Accepted Papers

ACCEPTED PAPERS - BAI 2023
Paper_ID Authors Title Area
5 Bazen G Teferra (University of Toronto)* Transforming Anxiety Screening: The Power of Contextual Linguistic Patterns Applications of AI to Health

9 Yvan Tamdjo Biakeu (AIMS-Senegal)*; Soona Sedahmed Ali Osman (AIMS-Senegal); Pidong Wang (Google Research) Building a zero-shot translation model for some African languages: Afrikaans, Hausa, Malagasy, Swahili, Xhosa, and Zulu NLP

17 Shumet Tadesse Nigatu (University of Gondar); Lomi Adane (University of Gondar); Tariku A Gelaw (Ethiopian Artificial Intelligence Institute) Language Identification in Low-Resource Multilingual Document Images using Deep Learning Techniques Deep Learning

20 zemenfes Hailemariam Gebremedhin ( Addis Ababa University) * ; Mulubrhan Abebe Nerea ( Addis Ababa University); WELEKIROS GEBRESLASIE (AI Institute) ; Abel Abebe Bzuayene (AI Institute) Efficient Amharic Audio Search using Text-Based Spoken Term Detection with Models Artificial Intelligence

28 Misgina Tsighe Hagos (University College Dublin)*; Kathleen Curran (UCD); Brian Mac Namee (University College Dublin) Distance-Aware eXplanation Based Learning Computer Vision

29 ELDAD Antwi-Bekoe (AKENTEN APPIAH-MENKA UNIVERSITY OF SKILLS TRAINING AND ENTREPRENEURIAL DEVELOPMENT (AAMUSTED))*; Qiugang Zhan (University of Electronic Science and Technology of China); Xiurui Xie (University of Electronic Science and Technology of China); Guisong Liu (Southwestern University of Finance and Economics) Insulator Recognition and Fault Detection Using Deep Learning Approach Deep Learning

32 Promise Ricardo Agbedanu (University of Rwanda)* Detecting Unseen Malware in Industrial Internet of Things (IIoT) using Optimized SAMKNN and FastICA Machine Learning

34 Arnaud Nguembang Fadja (University of Ferrara)* An Intelligent Approach to Fruit Inspection: Defect Identification on Plum Surfaces using YOLO-based Model Computer Vision
35 Arnaud Nguembang Fadja (University of Ferrara)* Interpretable Prediction of Covid-19 Positivity using a Neural-Symbolic Approach Statistical Reasoning

39 Ezekiel Mensah Martey (University of Electronics Science and Technology of China)*; Obed Appiah (UENR); Yakubu Issaka (UMaT); Kwabena Adu (University of Electronic Science and Technology of China) RTDD-EfficientNetB3: Rail Track Defect Detection using Image Processing and Deep Learning Deep Learning
40 Tadesse Destaw Belay (Wollo University)*; Sanni Ali Mohamed (School of Hygiene and Tropical Medicine); Seid Muhie Yimam (HCDS, University of Hamburg); Tadesse Kebede (Dilla University) Data Science for Neonatal Health Data, the Challenges and Opportunities: In the case of Ethiopia Machine Learning

44 Anokye A Amponsah (Academic Use)* A Novel Fraud Detection and Prevention Method for Healthcare Claims Processing Using Machine Learning and Blockchain Technology Applications of AI to Health

50 Joseph Domguia (University of Yaounde 1)*; Guy Nkama (University of Yaounde 1 ) Listening Across the Continent: Collecting and Analyzing African Culture Using Community Radios NLP

52 Mesay Gemeda ( Centro de Investigación en Computación Instituto Politécnico Nacional)*; Girma Bade ( Wolaita Sodo University ); Atnafu Lambebo Tonja ( Instituto Politécnico Nacional (IPN) ); Olga Kolesnikova ( Instituto Politécnico Nacional ) Bilingual Word-Level Language Identification for Omotic Languages Natural Language Processing

58 Atnafu Lambebo Tonja (Instituto Politécnico Nacional (IPN))*; Tadesse Destaw Belay (Wollo University); Israel Abebe Azime (AIMS-AMMI); Abinew Ali Ayele (Bahir Dar University); Moges Ahmed (Wuhan University of Technology); Olga Kolesnikova (Instituto Politécnico Nacional); Seid Muhie Yimam (Universität Hamburg) Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities NLP

59 Jazmia Henry (Microsoft)* Scaling Laws or The Law of Diminishing Returns: How Scaling Low Quality Data Degrades Language Model Performance NLP

64 Misgina Tsighe Hagos ( University College Dublin )*; Kathleen Curran ( UCD ); Brian Mac Namee ( University College Dublin ) Predicting Progression Levels of Mild Cognitive Impairment Patients Applications of AI to Health

67 Kehinde ARULEBA (University of Leicester)* Offline Recognition of Hand-drawn Finite Automata Computer Vision

72 Elie N Mulamba (African Institute for Mathematical Sciences)* Identify cancer cells based on their biophysical properties Machine Learning

75 Hernan D Benitez (aifund.ai)*; David Alejandro Jimenez (Pontificia Universidad Javeriana ); Behnood Rasti (Helmholtz-Zentrum Dresden-Rossendorf (HZDR); Jocelyn Chanussot (France); Juan Florez (Paul Scherrer Institute) Change Detection Approach for Remote Sensing Images Using Graph Subspace Fusion Computer Vision

76 Semere Kiros Bitew (Ghent University)*; Amir Hadifar (Ghent University); Lucas Sterckx (Lynx Care); Johannes Deleu (Ghet University); Chris Develder (University of Ghent - iMec); Thomas Demeester (Ghent University) Distractor Reusing for MCQ Generation in Education NLP

85 Urchade Zaratiana (LIPN)* Lost or Liberated? A Dive into Bidirectional Transformer LMs Without Positional Encoding NLP

87 Sakinat O Folorunso (Olabisi Onabanjo university)* A dental cavity classification using fully connected convolutional neural network Machine Learning

90 Martha Yifiru Tachbelie (Addis Ababa University)*; Solomon Abate (Addis Ababa University); Tanja Schultz (University of Bremen) Multilingual Speech Recognition for 26 Languages NLP

91 Natnael A Wondimu (Addis Ababa University)*; Bizuayehu Geberegziabeher (Independent Researcher); Rediet Adugna (Independent Researcher) Enhanced Human-Robot Interaction through Spatio-Temporal Saliency Prediction Computer Vision

96 JEAN Mrs. AMUKWATSE (UTAMU)* Feasibility of nnUNet Model in MR Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa Deep Learning

100 Eric Peter Wairagala (Makerere University)*; Jonathan Mukiibi (Makerere University); Andrew Katumba (Makerere University); Joyce Nakatumba-Nabende (Makerere University) Addressing Linguistic Disparities through Explainable and Interpretable AI for Low-Resourced Languages with Large Language Models NLP

101 Sakinat O Folorunso (Olabisi Onabanjo university)* RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling Machine Learning

104 Emmanuel Asante (University of Energy and Natural Resources)*; Obed Appiah (UENR); PETER APPIAHENE (UNIVERSITY OF ENERGY AND NATURAL RESOURCES) Revolutionizing Maize Classification with a Cutting-Edge Lightweight Deep Convolutional Neural Network Deep Learning

106 Girmaw Andualem (Assosa University )*; Wasyihun S Admass (Assosa University) DEEP LEARNING BASED AUTOMATIC AMHARIC-ENGLISH CODE-SWITCHING DETECTION AND CORRECTION NLP

109 Proscovia Nakiranda (Stellenbosch University)*; Trienko Grobler (Stellenbosch University) A Comparison Study: Building Identification in Aerial Imagery using Multi-task Learning Artificial Intelligence

112 Oreoluwa Boluwatife Babatunde (Olabisi Onabanjo University)*; Victor Olufemi (Obafemi Awolowo University); Toluwani Aremu (Mohamed Bin Zayed University Of Artificial Intelligence) Enhancing ASR with Zero-Shot Learning for Nigerian Accents NLP

118 Anthony Soronnadi (Data Scientists Network)*; Olubayo Adekanmbi (Data Science Nigeria Investigating Large Language Models’ Capability in Capturing Cultural Nuances Used for Describing Locations in Nigeria NLP

120 Michael Solomon Desta (Korenti Craft Technologies PLC)*; Selameab Demilew (Korenti Craft Technologies); Yeabsira E Tessema (Korenti Craft Technologies); Meron Yohannes Abayneh (Addis Ababa University) Cross-modal RGB to Thermal Image Distillation Computer Vision

125 Abel A Mekonnen (Korenti Craft Technologies plc)*; Meron Yohannes Abayneh (Addis Ababa University); SELAMAWIT A HAILE (ADDIS ABABA UNIVERSITY); Hawi Abera Hunde (Addis Ababa University ); Leulseged Admasu (Korenti Craft Technologies plc) MixStrokes: Harnessing MLP Mixers for Keystroke Dynamics Authentication Deep Learning

127 Saba Abdulaziz (University of Khartoum )*; Najlaa Musa Mohamed (University Of Khartoum) Multilingual Stable Diffusion: Towards More Inclusive Text-to-Image Synthesis Artificial Intelligence

128 Michael Melese Woldeyohannis (Addis Ababa University, Addis Ababa, Ethiopia)* Bilingual Hate Speech Detection for Amharic and Afaan Oromo Language NLP

129 Filmawit Teklebrhan Fisiha (Filmawit)*; Misgina Tsighe Hagos (University College Dublin); Abere Yekoye Dessalegn (LMCCO); Solomon Worku (GAMBY medical and business college ) A Postpartum family planning dataset Applications of AI to Health

130 Rahel Tamiru ( Bahir Dar Universty )* Automatic Speech Recognition using Self-Supervised Learning Approach NLP

131 Ammar Nasr Khairi (University of Edinburgh)* Scaling Down Multilingual Language Models of Code NLP

132 Siphendulwe Zaza (Rhodes Artificial Intelligence Research Group)*; Marcellin Atemkeng (Rhodes University South Africa) Automating Anomaly Detection in Telemetry Datasets and Analysing in South Africa Fish Movement Patterns Using Long Short Term Memory and Autoencoders: A Time Series Analysis Approach Machine Learning

133 Mosima M Masethe (Durban University of Technology)*; Mosima Masethe (Sefako Makgatho Health Sciences University) Paraphrase Generation Model Using Transformer Based Architecture NLP

138 Simphiwe Zitha (Eurowings Digital )* Multi-Task Recursive Classification with Examples (MTRCE) Artificial Intelligence

139 Semere Kiros Bitew (Ghent University)*; Johannes Deleu (Ghet University); Chris Develder (University of Ghent - iMec); Thomas Demeester (Ghent University) Distractor Generation via Dynamic Prompts & LLMs Applications of AI to education

141 Rose-Mary Owusuaa Mensah Gyening (Kwame Nkrumah University of Science and Technology)*; Kate Takyi (Kwame Nkrumah University of Science and Technology); James Ben Hayfron-Acquah (Kwame Nkrumah University of Science and Technology); Michael Asante (Kwame Nkrumah University of Science and Technology) Deep-Fuzzy Personalisation Framework For Robot-Assisted Learning For Children With Autism Artificial Intelligence

145 Mengistu K Negia (Bahir Dar Institute of Technology, Bahir Dar University)*; Rahel Mekonen Tamiru (Bahir Dar Universty) Morpheme-based Amharic-Kistangigna Bi-directional Machine Translation NLP

153 Christine Mwase (Fudan University)*; Albert Njoroge Kahira (Julich Supercomputing Center); Zhuo Zou (Fudan University) An Empirical Study of Distributed Deep Learning Training on Edge Deep Learning

158 Eric Opoku (Savana Signatures)* Improving Diabetic Patient's Hospital Readmission Predictions: An Ensemble Classifier Approach with Comprehensive Feature Engineering Applications of AI to Health

160 Richard Sserunjogi (Makerere University)*; Lillian Muyama (Inria Paris) Using Gaussian Processes for Spatial Prediction of Outdoor Air Pollution Based on Calibrated Data From Distributed Low-Cost Sensor Networks Machine Learning

161 Sofia Bourhim (ENSIAS)* DGCF: Deep Graph-based Collaborative Filtering recommender system Deep Learning

166 Tibabwetiza Joel Muhanguzi (Makerere University)*; Engineer Bainomugisha (Makerere University); Ernest Mwebaze (Sunbird AI) An Urban Noise Classification Model for Edge Devices Machine Learning

169 Thato A Serage (University of Limpopo)*; Tumisho B Mokgonyane (University of South Africa) AUTOMATIC SPEAKER RECOGNITION: A COMPARATIVE ANALYSIS FOR SOUTH AFRICAN LANGUAGES Machine Learning

171 Bontu F Balcha (Addis Ababa university)*; Hellina Hailu Nigatu (UC Berkeley ) Evaluating Large Language Models in Low-Resource Settings NLP

172 Olubayo Adekanmbi (Data Science Nigeria)* Prediction of the ability and motivation to adopt Reproductive Health Behavioural change using anonymized customer center audio data Applications of AI to Health

174 Kane Hudson (Southern Illinois Universtiy Law School)* Of Bytes and Men: Charting Legal Liabilities for Social AI Ethics

179 Olubayo Adekanmbi (Data Science Nigeria)*; Mobolurin Adekanmbi (DSN); Mofolusayo Adekanmbi (DSN) Automated Multimodal Depression Detection on Social Media and Real-time Conversational Psychotherapy Applications of AI to Health

181 Paulina Mensah (KNUST Hospital); Phyllis Tawiah (KNUST Hospital); George Boateng (ETH Zurich) Exploring Gait Speed Prediction among Older Ghanaian Adults using Socio-Demographic and Health Data Applications of AI to Health

183 Henry Mutegeki (Makerere University )* Interpretable Machine Learning-Based Triage For Decision Support in Emergency Care Applications of AI to Health

186 Priscilla Adong (AirQo, Makerere University)*; Deo Okure (AirQo, Makerere University); Noah Nsimbe (AirQo, Makerere University); Joel Ssematimba (AirQo, Makerere University); Richard Sserunjogi (AirQo, Makerere University); Deo Okedi (AirQo, Makerere University); Daniel Ogenrwot (AirQo, Makerere University); Martin Bbaale (AirQo, Makerere University); Engineer Bainomugisha (AirQo, Makerere University AirQalibrate: A Machine Learning-Based Field Calibration Tool for Low-Cost Air Quality Sensors Machine Learning

188 Amanuel Mersha ( Addis Ababa Institute Technology )*; Hawi Hunde ( Addis Ababa University ); Fitsum Degfu ( Addis Ababa University ) Towards Layer Explainability In Transformers Deep Learning

193 Sarah Alexandria Ebiaredoh-Mienye ( University of Johannesburg )*; Ibomoiye Mienye ( Walter Sisulu University ) A Machine Learning Method with Filter-based Feature Selection for Improved Prediction of Chronic Kidney Disease Applications of AI to Health

196 Abdulkerim Mohammed Yibre (Bahir Dar Institute of Technology/Bahir Dar University)*; Rediet Yimenu Ephrem (Bahir Dar Institute of Technology/Bahir Dar University) An Explainable Machine Learning Approach for Visual Acuity Classification Applications of AI to Health

206 Ife Adebara (University of British Columbia)*; Muhammad Abdul-Mageed (iSchool@UBC) SERENGETI: Massively Multilingual Language Models for Africa

NLP
208 Ife Adebara (University of British Columbia)*; Muhammad Abdul-Mageed (iSchool@UBC) AfroLID: A Neural Language Identification Tool for African Languages NLP

210 Irené Tematelewo (Oregon State University)* Consistency Based Anomaly Detection with Application to Precipitation Sensors Diagnosis Machine Learning

2023 Workshop Registration

https://airtable.com/app53hoDCmKRQ2BBB/shrVmFeaYU3dSyRrt

2023 Call For Paper & Important Deadlines
Last updated on Jul 17, 2023

Call For Papers Submissions

We invite submissions for the Seventh Black in AI Workshop (co-located with NeurIPS 2023). Both the Black in AI workshop and the NeurIPS conference will be held in a hybrid format.

We welcome research papers, position papers, survey papers, vision papers, or papers that inform about neglected/abandoned areas of study where AI could be impactful. Papers may introduce new theories, methodology, applications, or product demonstrations. Papers are published in a non-archival format and may have been published in other venues before or be published in other venues in the future.

Areas of Interest

Submissions may include, but are not limited to, the following topics: Artificial Intelligence, Computational Neuroscience, Deep Learning, Knowledge Reasoning, Machine Learning, Multi-agent Systems, Statistical Reasoning, Computational Theory, Computer Vision, Natural Language Processing, Data Mining and, Robotics. We also welcome papers about applications of AI to Health, Education, Fairness, Ethics and, Transparency in AI, AI & Arts, AI & Politics, etc.

Each submission will fall into one of these 4 tracks:

  • Machine learning Algorithms
  • Systems and Applications
  • Position papers
  • Product demonstrations

Work may be previously published, completed, or ongoing. The workshop will not publish proceedings. We encourage all Black researchers in areas related to AI to submit their work. The work should include at least one Black researcher either as main author or co-author.

Submission Format and Guidelines

All submissions must be in PDF format. Submissions are limited to two content pages, including all figures and tables. An additional page containing only references is allowed.​ Submissions should be in a​ single column ​, typeset using ​11-point or larger fonts, and have at least ​a 1-inch margin all around. Submissions that do not follow these guidelines risk being rejected without consideration of their merits. We encourage authors to use one of these templates to prepare their submission:

Registration

We strongly encourage workshop attendees to register for the workshops as early as possible. The registration can be found here.

Important Dates

  • Call for paper submission opens on CMT - July 1st 2023
  • Call for paper submission deadline EXTENDED - August 18th, 2023, 11:59 pm UTC
  • Notification of Call for paper acceptance - September 12th, 2023

Microsoft Conference Management Toolkit (CMT): HOW-TO: Author Submission

Submit your work using CMT at: https://cmt3.research.microsoft.com/BAI2023

Submission instructions and important deadlines can be also found here

If you have any questions, contact Organizers at [email protected] and follow @black_in_ai to keep updated.

FAQs

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Mission and Vision

We aim to shift the power dynamics across the AI Ecosystem to help visionaries, creators, thought leaders and builders maximize the multifaceted future of artificial intelligence. We envision a barrier-free field that empowers our community to contribute and accelerate their best, most brilliant work for themselves, fellow practitioners, and their global ecosystems.