Artificial Intelligence and Cybersecurity Whitepaper

Artificial Intelligence has great potential for building a better, smarter world, but at the same time brings significant security risks. Because of the lack of security consideration in the early development of AI algorithms, attackers can manipulate the data results that can lead in a way to misjudgments. In critical areas such as healthcare, transportation and surveillance this gap can be devastating; leading to vulnerabilities and to security risks. Malicious attacks on AI systems or misinformation or mis-judgement in decision-making algorithms can lead to asset loss endangering property loss or even personal safety.

The main purpose of this paper is to investigate the various security risks and vulnerabilities posed by emerging Artificial Intelligence technologies as well as the ethical dimensions of these as they affect the corporate, industrial, academic and social aspects of society in the present day. We will address the various cybersecurity risks associated with Artificial Intelligence and how to mitigate them.

 
 

Outline/Structure of the Case Study

Slides will be presented on a screen along with a demonstration of the main points covered in talk

Structure of the presentation will follow the structure of the whitepaper which shall be submitted

Followed by any questions or discussion of various points covered in the talk

Learning Outcome

Awareness of varied roles for AI in cybersecurity

Knowledge of experiments and simulations done in various environments using AI chatbots

Knowledge of various aspects of information security management

Ethical implications of AI in society and Internet social media surveillance etc.

Target Audience

Information Security professionals, AI practitioners

schedule Submitted 10 months ago

Public Feedback

comment Suggest improvements to the Speaker

  • Liked Favio Vázquez
    keyboard_arrow_down

    Favio Vázquez - Complete Data Science Workflows with Open Source Tools

    Favio Vázquez
    Favio Vázquez
    Sr. Data Scientist
    Raken Data Group
    schedule 10 months ago
    Sold Out!
    90 Mins
    Tutorial
    Beginner

    Cleaning, preparing , transforming, exploring data and modeling it's what we hear all the time about data science, and these steps maybe the most important ones. But that's not the only thing about data science, in this talk you will learn how the combination of Apache Spark, Optimus, the Python ecosystem and Data Operations can form a whole framework for data science that will allow you and your company to go further, and beyond common sense and intuition to solve complex business problems.

  • Liked Karthik Bharadwaj T
    keyboard_arrow_down

    Karthik Bharadwaj T - Failure Detection using Driver Behaviour from Telematics

    Karthik Bharadwaj T
    Karthik Bharadwaj T
    Sr. Data Scientist
    Teradata
    schedule 10 months ago
    Sold Out!
    45 Mins
    Case Study
    Beginner

    Telematics data have a potential to unlock revenue of 1.5 trillion. Unfortunately this data has not been tapped by many users.

    In this case study Karthik Thirumalai would discuss how we can use telematics data to identify driver behaviour and do preventive maintenance in automobile.