Thursday, March 4, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Neural Networks

Artificial Intelligence Can Pose A Danger To Humanity | by Melissa Crooks | Jul, 2020

July 15, 2020
in Neural Networks
How Do I Get Into AI Development? Where Do I Start? A Complete Beginner Guide to Learning AI
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Today, our technological progress has reached far off; we have been inventing machines that seem to act like humans. Yes, that’s correct, Artificial Intelligence. Before moving on too far away, let’s get some clarity on what is Artificial Intelligence. In simple terms, Artificial Intelligence has the power to replace Human Intelligence. They are nothing but machines. These machines are powered by intense learning and following the protocols.

This article will throw some light on what are the benefits of AI, and what risks it engenders. It will mainly focus on the security hack, which could be detrimental to humans.

You might also like

3 Types of Image Segmentation. If you are getting started with Machine… | by Doga Ozgon | Feb, 2021

The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021

The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021

Benefits:

Our great scientists have progressed rapidly right from inventing SIRI to Self-driven cars. Artificial Intelligence is termed as Narrow AI today, with its limited abilities. However, our scientists have a great vision. They are yet to come up with General AI. Narrow AI, with its limitations, might still outperform humans at any task; however, with General AI, it is sure to beat humans at any cognitive task.

1. Natural Language Generation:
The Commercial State of the Art in 2020

2. This Entire Article Was Written by Open AI’s GPT2

3. Learning To Classify Images Without Labels

4. Becoming a Data Scientist, Data Analyst, Financial Analyst and Research Analyst

Source

Risks:

As said and heard, everything comes with a price. With AI progressing in myriad fields these days, there is a risk of Artificial Intelligence getting hacked. They have been doing this since ever now with the invention of technology. It is only a matter of time before they will cut through these intelligence systems.

It is quite challenging to get hold of these hackers. Because it seems that no matter how efficient we are, they have outgrown our smartness, cybersecurity has some massive problems to deal with when it comes to solving the issues of hack and ensuring security.

To ensure safety, Artificial Intelligence Development companies need to roll up their sleeves and become more proactive. They have advanced security in place to deal with Advanced Persistent Threats (APTs) and other related threats; thus, they become confident than ever, and lay relaxed, thinking everything is safe and sound, only to discover it is not. Such an attitude is a surety that they will get hacked.

Smugness can be detrimental sometimes, and it is the case in this scenario. There have been a few questions raised like, How will these AI Development companies put proper security in place while fostering their businesses? Should they have audit facilities to answer regulatory questions?

Do data scientists guarantee the reliability of AI models? How do developers deliver high-quality software for AI software development? Asking the right set of questions can help to understand the problems more clearly.

To gain more advancements, AI Development companies are looking for investment funds to manage and supervise AI, to grow more into the MLOps and ModelOps that will fit into their existing systems. However, the problem is that these companies are not showing that sincerity to combine a machine learning model into the current production environment, which can help make better business decisions. The same goes for AI security. They are still stuck in complexities to direct their AI management team, thus pushing the problems down the road, leading to more trouble in the future.

ML Jobs

Deeper Problems to Look at:

The AI system is vulnerable to the attack surface, where the data can get easily extracted from the system. Here, the MLOps comes into the picture. These tools can help the AI development companies stop the access into the AI that’s been used by the data science company, not just that; these tools can help with API threats. Simultaneously there are other threats to look for that poses a risk to the security, which are neglected by the AI Development companies.

There is a term called Adversarial AI, which is a technique of deceiving the AI model by injecting wrong data, in turn, disturbing the patterns, thus causing damage to the AI model. This breach caused by such cybercriminals. Once breached, they can reverse the functioning and thus poison the data, and what could happen is beyond our imagination.

Imagine you are driving a self-driven car that gets tricked into reading the stop sign into 60 Mph sign. Now, you think of what can happen; this is a sheer example of data poisoning.

These cybercriminals use another technique wherein they inject such signals and processes which display no effect on the system. Instead, they train these models into thinking that as healthy. Once they get trained with it being normal, the hackers use this technique to carry out further attacks, because these models get trained to believe that this functioning is normal.

However, don’t worry, there are systems in place to manage such problems. Only a few app developers are devoting their time and funds to look into the security aspects.

Adversarial Defence needs to be a top priority. Otherwise, it is like keeping your cars unlocked for inviting thefts.

Light on Shadow AI:

Okay, so now we about the threats that come from outsiders, but what about insider threats.

Many teams are working on AI within the organization and are on the constant race for bringing in more innovation. And if they can’t seek what they are looking for, they produce it or procure it. However, you can’t function or secure when you are unaware.

The use of AI-related tools and services in place used by individuals without having the technical know-how to develop their AI-powered solutions refers to as Shadow AI. As per the study, 40% of funds consumption takes place by IT departments outside their companies. When this takes place, serious security gaps can engender.

So, How do you address these problems?

This can minimize by generating collective awareness to maintain the security in the organization and work wholly as a team. As mentioned earlier, about the MLOps and the ModelOps, which can help pivot the AI functionings, making it smoother to manage and supervise it in the long term. Lastly, having a constant sight on who is using the AI, and thus taking things under control.

Hence, before the situation goes haywire, make sure of placing proper tools in place. Artificial Intelligence can do wonders and can make human life smoother, provided crucial emphasis in the area where security concerns.

Credit: BecomingHuman By: Melissa Crooks

Previous Post

The Most Common Critical Website SEO Mistakes

Next Post

Machine Learning in Communication Market

Related Posts

3 Types of Image Segmentation. If you are getting started with Machine… | by Doga Ozgon | Feb, 2021
Neural Networks

3 Types of Image Segmentation. If you are getting started with Machine… | by Doga Ozgon | Feb, 2021

March 4, 2021
The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021
Neural Networks

The Role Of Artificial Intelligence In The Fight Against COVID | by B-cube.ai | Feb, 2021

March 4, 2021
The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021
Neural Networks

The TensorFlow Certification: get official recognition, but it’s hard! | by Keenan Moukarzel | Feb, 2021

March 3, 2021
The Symbolic World: Raising A Turing’s Child Machine (1/2) | by Puttatida Mahapattanakul | Feb, 2021
Neural Networks

The Symbolic World: Raising A Turing’s Child Machine (1/2) | by Puttatida Mahapattanakul | Feb, 2021

March 3, 2021
The Ways in Which Big Data can Transform Talent Management and Human Resources | by Amelia Jackson | Feb, 2021
Neural Networks

The Ways in Which Big Data can Transform Talent Management and Human Resources | by Amelia Jackson | Feb, 2021

March 3, 2021
Next Post
Machine Learning in Communication Market

Machine Learning in Communication Market

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Google patches actively exploited Chrome browser zero-day vulnerability
Internet Security

Google patches actively exploited Chrome browser zero-day vulnerability

March 4, 2021
A Plethora of Machine Learning Articles: Part 2
Data Science

A Plethora of Machine Learning Articles: Part 2

March 4, 2021
AWS launches webinar for marketers looking to maximise their machine learning strategy
Machine Learning

AWS launches webinar for marketers looking to maximise their machine learning strategy

March 4, 2021
What Is Intent Data? How to Get Started
Marketing Technology

What Is Intent Data? How to Get Started

March 4, 2021
High severity Linux network security holes found, fixed
Internet Security

High severity Linux network security holes found, fixed

March 4, 2021
A $50,000 Bug Could’ve Allowed Hackers Access Any Microsoft Account
Internet Privacy

A $50,000 Bug Could’ve Allowed Hackers Access Any Microsoft Account

March 4, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Google patches actively exploited Chrome browser zero-day vulnerability March 4, 2021
  • A Plethora of Machine Learning Articles: Part 2 March 4, 2021
  • AWS launches webinar for marketers looking to maximise their machine learning strategy March 4, 2021
  • What Is Intent Data? How to Get Started March 4, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates