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The liability Risks of Artificial Intelligence and Machine Learning

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The liability Risks of Artificial Intelligence and Machine Learning

Maria Johnsen talks about risk assessment and security aspects of artificial intelligence and machine learning.

In recent years, the use of Artificial Intelligence has peaked. Decisions may be at risk if they are made by a machine. Artificial intelligence can be economically disastrous and liable equally due to various thought-provoking aspects of the situation. Experts hold the opinion that there is a liability risk if the Machines make decisions which are rather inappropriate or illegal.

According to Maria Johnsen in fintech and banking systems the rules on risk management describe how models should be validated, but these rules do not cover A.I and machine learning algorithms. With predictive models, they build the model and test it. But they don’t test to see if the algorithm changes based on the data they feed it. In machine learning, the algorithms change, evolve and grow; at the same time, new biases could potentially be added.

Regulators should be finding solutions to the risks of machine learning models. For example, in loan decision making, the data could inform an unconscious bias against minorities that could expose the bank to regulatory scrutiny.

Machine Learning Problems:

The risks associated with Artificial Intelligence and machine learning can be potentially dangerous if not managed timely. Following are some of the main risks associated with this phenomenon:

  1. Data:The pedigree of the data used to create machines is largely involved in the risk. The variability in the amount of the data determines how it would run in the long term. This is why it should be a homogenous data.
  2. Bias:It can be a source of inaccuracy in the models which can make the data highly inaccurate.
  3. Output Interpretation:The use and the way a model is interpreted can undoubtedly add to the risk.

If you train an algorithm with data that has underlying racist data, you may end up making a racist machine learning algorithm. We need to step back before we all jump on the bandwagon.

AI is used in various aspects of programming that include finding solutions to a problem and recognizing patterns. In machine learning, a computer program is given access to a huge amount of data and then it processes that information. This is how it learns the relationship between variables.

For more information read her entire article at A.I and Machine Learning

Her latest book The Future of Artificial Intelligence in Digital Marketing: The next big technological break

About Maria Johnsen

Maria Johnsen is a Multilingual Digital Marketing A.I and Fintech Influencer, Film producer , director, screenwriter,Linguist and author. She  holds a degree in political economy from Kharkov University in Ukraine, Beauty Arts from Sorbonne University in Paris, BA in Information technology, BA in computer science, a Master of Science degree in computer engineering from university of science and technology in Norway and master degree in filmmaking and television from Royal Holloway University of London.

Her professional background and education is diverse and includes skills in areas such as sales, multilingual digital marketing, content writing, business intelligence, software design and development. In addition, she possesses the experience and education in the management of complex Information Systems.

Maria knows eighteen languages and possesses experience in language instruction, tutoring, and translation. She has also developed a unique teaching method for fast learning “Implications for Upgrading Accelerated Learning Practices In Educational Systems” This method is applied in China and Norway.

Maria Johnsen is also a multilingual SEOPPC and social media marketing expert. She managed software projects for well known IT companies and Bank in Norway, China, the UK as well as cooperation with governments and police authorities in regards to projects related to data crime and tracing terrorists online.

Starting in 2008, she began offering search engine optimization services. Her company Golden Way Media expanded internationally in 2009 carrying out various projects in Europe, North America and Asia. While offering services to the general public, Maria Johnsen continues to consult with corporate clients, agencies and small businesses. She has skills and proven records in all areas of search engine optimization including keyword targeting, competitor research and on-site optimization.

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How I Created a Community from my Brand on Instagram

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How I Created a Community from my Brand on Instagram

Brand on Instagram

Nowadays, if you are a person that knows anything about the importance of building a community, then you will know that there is no better way to get it done than through the ever-growing social media platforms.  So many people have adapted to using these platforms that it is practically impossible to find a single individual that is not engaged in at least one. Going through all the existing social media platforms would take forever and would likely need a helping hand from a marketing team such as social media agency Bali. So I am going to keep my focus on only one platform today, Instagram.  It is a social platform that has topped the charts to be amongst the best and it is with good reason. It has been at the forefront in bringing people together and a means through which people will share information. People will use such platforms for different purposes but in this article, I will take you through how I created a community from my brand on Instagram. This is going to be the most educational tip you will ever come across so I suggest you take notes. If you have any interest in building your own community through this platform then the following tips will be beyond handy.

The first and very most important step I took was to make sure I knew who exactly I wanted to be part of my community. The best thing about Instagram is that it is consistent with billions of people and out of these entire people I was sure I could not possibly luck individuals with the same brand as I did. What this meant for me was that these people will without a doubt show interest in anything I post on Instagram as well as the methods of promotion I will use. This is to say that I had already envisioned that whenever I posted something, it would be of relevance to them and they would see it. This worked perfectly as using hashtags related to my brand and searching for relevant results would lead me to everyone with the same brand as me and liking their posts automatically got me exposed to them and they would without a doubt make sure to follow me. That, ladies and gentlemen, was the first step towards growing my community on Instagram and it is guaranteed to work perfectly.

The one thing that has always helped me while socializing with people is the fact that I came to the realization that it is not healthy to have the spotlight focused only on you. If you ever want people to take part in whatever you are doing, show appreciation by making sure you show interest and share the little they are doing. The moment I started gaining a following on Instagram, people started taking note of my brand and promoting it in their own little way. This only served as a small opening to even greater potential. What I did to make sure that my community continued to grow is that whenever anyone made an effort to showcase my brand, however minimal the effort might have been, I made sure to share that with the rest of the now growing community. This helps in that when one person sees the other getting such attention they will want to be part of the same. By doing this I was paving way for even more people to come and be part of my community thus growing it tremendously.

The two skills that helped me a great deal in building a community on Instagram were observation, and the ability to want to learn. You see I was certain that as much as I wanted to build a community, there is a lot I had to learn and who is better to learn from other than the very people you want to associate with. This meant that I had to take a keen look at whatever they would post and the hashtags they would use. Just so I could not overlook any detail, as minor as it could be. Other than mare observation, I had to admit that the very people I wanted to grow a community from through my brand on Instagram could have had more exposure and experience than I did. With this realization, I made sure to take notes where necessary just to know what needed to be done. In growing a community from a brand on Instagram I learned that humility is vital.

Building a brand on Instagram can be effortless but only if you decide to view it as so and put in all the work and dedication required to get where you want to be. The one thing that had me have my head above the water all along was the lesson that it does not really matter whether you get 0 likes, always continue promoting the work of your hands as people are always watching and with time they will celebrate your wins, this time, as part of your very own community.

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Top 3 Self Driving Car Companies to Watch out in 2020

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Top 3 Self Driving Car Companies to Watch out in 2020

Many organizations are working on developing self-driving cars and hardware for autonomous cars of all types.

In this race to build a completely self-driving car, some companies are further in terms of real-world testing and practical experience than others.

We will have a look at all the top 3 self-driving car companies in the world.

Top 3 Autonomous Vehicle Companies 

1.Waymo

On the basis of the number of vehicles testing and the number of kilometers driven, Waymo tops the list with over 32 million kilometers driven on the road.

Their cars are equipped with advanced cameras, LiDAR, and radar sensors along with a microphone that detects sirens from emergency vehicles

Currently, Waymo is testing is the prototype of fully driverless SAE Autonomy Level 4 vehicles in Phoenix and Arizona.

Waymo has recently set up additional testing facilities in Michigan and California to test its cars in winter conditions.

The next on the list is Tesla.

2.Tesla

Tesla is putting enormous efforts to develop a fully autonomous vehicle.

Although Tesla has excluded the Light Detection and Ranging(LIDAR), Tesla instead prefers ultrasonic, radar, and 2D cameras for autonomous operations.

The company has till now collected data from 600,000 Tesla’s with having collectively driven more than 3.2 billion kilometers world-wide.

One can’t deny the fact that Tesla has built up a level of experience with some auto-pilot features of SAE level 2.

Reports state that their prototyping vehicles have already reached SAE level 5.

3.ARGO AI

Argo AI is an independent startup that started in 2017, with a $1 billion investment from Ford Motor Company. The company has also attracted a $2.6 billion investment from Volkswagen.

Argo AI today is testing over 100 vehicles in almost 6 cities of the United States.
Technically it’s still an independent venture. Unlike other manufacturers, AgroAi doesn’t foresee producing its own cars. Rather Ford and VW want Argo AI to manufacture self-driving car technology for other companies starting with service-based firms like the Robo-taxis.

There are quite few other companies that are promisingly working on developing a self-driving car like the ones Baidu and GM cruise developed.

Even startups like Cruise Automation, Tu Simple, and Zoox are working towards developing AI  for autonomous vehicles. E-learning platforms like Udacity has already launched their courses on self-driving cars that teach how to make one.

While completely autonomous vehicles won’t become mainstream in the next few years, Waymo, Tesla, and Argo AI are making significant advances in the self-driving car market.

With improvements in IoT technologies, strides toward fully autonomous vehicles are sure to follow.

As IoT technology continues to improve, strides toward fully autonomous vehicles are sure to follow.

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[Solved]Mac Starts to Prohibitory Symbol After macOS Big Sur Update

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[Solved]Mac Starts to Prohibitory Symbol After macosBig Sur Update

macOS Big Sur will be the next version of Mac OS, announced at WWDC 2020. It is again named after the landscape in California but skips the macOS 10 version to macOS 11. According to the macOS Big Sur preview from Apple, the new features mainly sit in the new control center, interface and notification center as well as improved apps such as Safari, Messages and Maps.

However, the new OS doesn’t always bring good news. Here is a list of macOS 11 known issues and fixes. In this article, we will specifically discuss the Mac booting into a prohibitory symbol on the screen after macOS Big Sur update.

What does it mean when your Mac boots to a prohibitory symbol?

When a circle with a line cross it appears on your Mac’s monitor instead of a login screen or desktop, it is very likely that your Mac doesn’t support running macOS Big Sur. Even though the OS can be successfully downloaded on the startup disk, the relevant hardware is unable to install the OS nor launch it for use. It is a very typical problem people encounter when they update their Mac computers.

What Macs are compatible with macOS 11 Big Sur?

It is recommended to check the system requirements before you upgrade your Mac, especially before a major OS version upgrade. Some models can run macOS Catalina but are not necessarily compatible with macOS Big Sur.

macOS 11 Big Sur can be running on Macs including:

  • MacBook models from early 2015 or later
  • MacBook Air/Pro models from 2013 or later
  • Mac mini models from 2014 or later
  • Mac Pro models from 2013 or later
  • iMac models from 2014 or later
  • iMac Pro models

By checking the Mac’s hardware information, you can go to Apple logo and About This Mac to know your Mac model.

How to fix the prohibitory problem issue?

Now you know macOS Big Sur is not the right OS to run on your Mac, but how to get rid of the downloaded macOS 11 files and restore the Mac? Don’t panic. The steps are very easy.

Step 1: Boot your Mac into Recovery Mode.

You need to start or restart your Mac and immediately press down Command, Option and R keys together. Release the keys until you see a loading screen. The booting process will be a lot slower than usual. Then you will be led to the OS X Utilities or macOS Utilities window.

Step 2: Back up files from the Mac.

If you are afraid of data loss, you can use Target Disk Mode or data recovery software to get the important files off the Mac first.

Step 3: Reinstall OS

You can choose to format the hard drive first in Disk Utility and reinstall OS. Also, you can directly reinstall OS by selecting Reinstall OS X or macOS and clicking Continue. You just need to follow the wizard to finish the reinstallation.

Conclusion

Before you update to a newer OS, do remember to check the compatibility first in case you will boot to a prohibitory symbol during the installation. If the issue is happening, you can easily restore the Mac to a bootable state. macOS 11 Big Sur is a beta now and will be released to public in fall 2020, so it is recommended to upgrade after it is officially released if your Mac is compatible.

 

 

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