1 DAY IN-PERSON HANDS-ON MASTERCLASS – DUBAI

Explainable AI

The Key to Trustworthy and Transparent Technology

Offline Live Intensive Learning with Hands-On Exercises for better understanding

January 18, 2025; 10:00 - 17:30

TBA

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Intensive Learning

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Hands-On Exercise

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Interactive Sessions

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Individual Practice

Introduction to Masterclass

Explainable AI (XAI) has become a vital component in the development and deployment of artificial intelligence systems. As AI continues to integrate into various aspects of our lives, from healthcare to finance, the need for transparency and accountability has never been more crucial. Explainable AI addresses this need by providing clear and understandable insights into how AI models make decisions.

The primary goal of Explainable AI is to make AI systems more interpretable and transparent to human users. Traditional AI models, especially complex ones like deep neural networks, often operate as “black boxes,” offering little to no insight into their decision-making processes. This opacity can lead to issues of trust, ethical concerns, and regulatory challenges. Explainable AI seeks to demystify these processes, ensuring that AI decisions can be traced and understood by stakeholders.

One of the significant advantages of Explainable AI is its ability to enhance trust. When users understand how and why a decision is made, they are more likely to trust and adopt AI solutions. This is particularly important in sectors like healthcare, where the rationale behind a diagnosis or treatment recommendation must be clear and justifiable.

Applications of ExplainableAI

In this section we are discussing some of the potential areas of applications of ExplainableAI & how it can be helpful in these areas to carryout analysis.

Explainable AI is revolutionizing healthcare by providing clear insights into AI-driven diagnoses and treatment recommendations.

In the finance sector, Explainable AI helps in risk assessment, fraud detection, and investment decisions.

Explainable AI can assist in legal analytics, predicting case outcomes, and even recommending judicial decisions.

Self-driving cars rely on complex AI systems to navigate and make real-time decisions. Explainable AI is vital in this context to ensure safety and accountability.

Explainable AI is used in HR for talent acquisition, performance evaluation, and employee retention.

Different Types of Analysis

Majorly, there are 3 different types of operations using ExplainableAI so below we have tried to list them down to help you take better decision if this course will be relevant for your learning and be helpful in your intended area of research.

Feature Attribution

Feature attribution techniques aim to identify and quantify the contribution of each input feature to the model's predictions.

Model Visualization

Visualization techniques provide graphical representations of the internal workings and decisions of AI models.

Rule Extraction

Rule extraction methods aim to simplify complex AI models by approximating them with a set of interpretable rules.

Topics Covered

Explainable AI is essential for building trustworthy, transparent, and ethically sound AI systems. As AI continues to evolve, the importance of Explainable AI will only grow, ensuring that technological advancements are aligned with human values and societal needs.

10:00 AM - 11:30 AM

Introduction to ExplainableAI, Applications of XAI in real world.

11:30 AM - 11:45 AM

Tea/Coffee Break

11:45 AM - 01:00 PM

Why do we need XAI, Introduction to Importance of ExplainableAI.

01:00 PM - 02:00 PM

Lunch Break

02:00 PM - 03:30 PM

Intuition about Shapley Values, Shapley values using the SHAP package

03:30 PM - 03:45 PM

Tea/Coffee Break

03:45 AM - 05:00 PM

Local explainability, Global explainability, Explaining image classification

05:00 PM - 05:30 PM

Recap Session, Doubts Q&A, Certificate Distribution, Concluding the Masterclass.

TakeAway From The Masterclass

Explainable AI supports better compliance with regulatory standards. Many industries are subject to strict regulations that require transparency and accountability. By making AI systems explainable, organizations can more easily comply with these standards, reducing the risk of legal and ethical violations.

Apart from the topics mentioned above there are a few extra things which you can take away from this bootcamp, which will be adding more value to your work

Introductory Documentation

An introductory theory document to help you better understand the subject will also be provided.

Trainers Slide Deck

After the completion of the session complete access to the trainers slide deck will also be provided

Access to Trainers Repo

We will also be providing a complete access to trainers repository so that you can use it as reference later

Session Recording Videos

We will be sharing the recordings of the process covered during the course of 2 Days Masterclass as well.

Guided Hands-On Exercises

Hands-On exercises are a must to better learn any technology and be able to reproduce it later.

Participation Certificate

A Participations certificate is a must after successfully completing the training as a sign of accomplishment.

Expected Outcomes of the Masterclass

After completing all the tasks of this masterclass all of our participants will be able to:

Increased Trust and Adoption

One of the primary outcomes of Explainable AI is the enhancement of trust in AI systems. By providing clear and understandable explanations of how AI models make decisions.

Enhanced Debugging and Model Improvement

Explainable AI enables developers and data scientists to better understand the inner workings of their models. This understanding is crucial for identifying and correcting errors

Improved Compliance and Accountability

Explainable AI plays a crucial role in ensuring compliance with regulatory standards and ethical guidelines. Many industries, such as healthcare, finance Etc.

Empowered Decision-Making

By providing clear explanations of AI-driven insights, Explainable AI empowers users to make informed decisions. Whether in business, healthcare, or other fields,

Registration Fee

Early-Bird Registrations Ends on September 10, 2024

Terms & Conditions

  1. All fee paid is not refundable so please read all the terms & conditions before making any payments. If you still have any doubts please contact us and confirm and then only make the payment.
  2. Participants need to bring their registration tickets along with a valid Institutional ID, then only they will be allowed to attend the session. Please reach out to our team in case of any exceptions.
  3. Please fill all your details in the form correctly as those details will  be used in your certificate as well.
  4. Participants need to bring their own computer (laptop) system for the program.
  5. The software tools and other required software tools will be provided from our side for the purpose of this program.
  6. Participants need to reach the venue and report 30 minutes prior to the start of the sessions.
  7. Participants need to wear masks all the time inside the premises and abide by the other rules at the premises. 
  8. Particpants need to attend all the sessions in order to be eligible for getting the certificate.
  9. Welcome email will be sent to all the participants with all the details related to the program. Please check your Inbox/Spam folder for the email. 
  10. All the details of the software installations and how to prepare your system for the Program will be shared with all the participants in the Welcome Email itself.

Contact Us

We understand that you may have some questions before you make the payment for the course.  Feel free to get in contact with us through the below given options. 

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