Name: Identifying and Mitigating Bias in AI Systems
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Identifying and Mitigating Bias in AI Systems

WORKSHOP: Ethics and Bias in AI: Practical Approaches

WORKSHOP OVERVIEW

This Workshop will Provide practical approaches to addressing ethics and bias in AI.

OBJECTIVE: Equip participants with tools and techniques to ensure ethical AI practices

OUTCOME: Participants will implement and evaluate ethical AI frameworks.

Target Audience: AI developers, ethicists, researchers, and policymakers.

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VOLUNTEER AT GODA SUMMIT

SESSION OVERVIEW

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The Power Demand of AI: Challenges and Solutions

The Future of AI: Innovations and Trends

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AI Ethics and Governance: Navigating Challenges

Smart Cities: Building the Urban Future with AI

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AI in Industry 4.0: Driving Manufacturing and Innovation

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Panel Discussion: The Environmental Impact of AI: Challenges and Mitigation Strategies

Case Study Presentation: AI and Environmental Sustainability

Case Study Presentation and Live Demo: Sustainable AI: Strategies for Reducing Power Consumption

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Case Study Presentation: "Sustainable AI Practices"

Introduction to Open Data and Workshop Objectives

Data Cleaning and Preprocessing Techniques

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Introduction to AI Ethics

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Case Studies and Real-World Applications

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Building and Deploying NLP Models

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Principles of Effective Data Visualization

Tools and Techniques for AI-Powered Visualizations

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Personalized Medicine and AI

Data Privacy and Security in Healthcare AI

Introduction to AI Chatbots and Workshop Objectives

Chatbot Frameworks and Platforms Overview

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Building and Deploying Chatbots

Introduction to Deep Learning and Workshop Objectives

Fundamentals of Neural Networks

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

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Predictive Analytics for Financial Markets

AI Techniques for Fraud Detection

Algorithmic Trading with AI

Introduction to Autonomous Systems and Workshop Objectives

Fundamentals of Autonomous Systems

AI Algorithms for Robotics

Applications in Self-Driving Cars and Industrial Robots

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AI-Driven Threat Detection and Prevention

Anomaly Detection in Network Traffic

AI for Incident Response and Mitigation

Introduction to AI and IoT and Workshop Objectives

Overview of IoT Architecture and Components

AI Techniques for IoT Data Analysis

Developing Intelligent IoT Applications

Introduction to AI in Business and Workshop Objectives

AI Applications in Business Analytics

Decision Support Systems and Predictive Modeling

Implementing AI Solutions in Business Contexts

Introduction to AI Ethics and Workshop Objectives

Identifying and Mitigating Bias in AI Systems

Ethical AI Frameworks and Guidelines