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Are AI image generators infringing upon the law in terms of copyright?

Artificial intelligence programs like DALL-E, Midjourney, and Stable Diffusion may quickly generate an image for you if you type in a request like “a bar of chocolate mounted on a bicycle in the spirit of Picasso.” They do this by combining components from the enormous digital collections of photos and artwork that are accessible from all over the internet and on which they have received training. Are the A.I. tools violating the creators’ copyrights in the process, though? Two new lawsuits center on that issue.

Three artists have filed a lawsuit against Stability AI, Midjourney, the companies behind the artificial intelligence art generators Stable Diffusion and Midjourney, and DeviantArt, which recently unveiled its own AI art generator called DreamUp. By using five billion photos that were scraped from the internet “without the consent of the original artists,” the artists Sarah Andersen, Kelly McKernan, and Karla Ortiz claim that these organizations have violated the rights of “millions of artists.”

Attorney and typographer Matthew Butterick and the Joseph Saveri Law Firm, which focuses on infringement and class action cases, filed the claim. Butterick refers to the lawsuit as “another step toward mak­ing AI fair & eth­i­cal for everyone” in a blog post announcing it. The ability of AI art tools like Stable Diffusion to “flood the market with an essen­tial­ly unlim­ited num­ber of infring­ing images will inflict per­man­ent dam­age on the market for art and artists,” according to him, will cause this damage. In a related case concerning the AI programming model CoPilot, which is educated using lines of code gathered from the internet, Butterick and Saveri are planning to sue Microsoft, GitHub, and OpenAI.

The art world has reacted aggressively to the surge in the popularity of AI art tools during the past year. While some claim that these tools, like earlier generations of software like Photoshop and Illustrator, might be useful, many more are against the exploitation of their work to train these lucrative algorithms. Millions of photos from the web are used to train generative AI art models, typically without the creators’ knowledge or consent. Then, you may employ AI art generators to produce artwork that imitates a certain artist’s style.

The knotty issue of whether or not these technologies violate copyright law will need to be resolved in court, according to experts. The makers of AI art tools typically claim that the fair use doctrine covers (at least in the US) the training of their software on copyrighted data. But there are various complexities when it comes to AI art generators, and issues involving fair use still need to be addressed. These include the locations of the organizations that built these tools (since the legal frameworks for data scraping in the EU and the US differ considerably from one another) and the objectives of these institutions (Stable Diffusion, for example, is trained on the LAION dataset, which is created by a German-based research non-profit, and non-profits may be treated more favorably than regular companies in fair use cases).

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What Are The Disadvantages Of Canva?

Last Updated on July 4, 2023

Canva is a popular online tool that allows users to create a wide variety of graphic designs, from social media posts and banners to presentations and infographics. It’s known for its user-friendly interface and a wide range of templates, making it a go-to tool for individuals and businesses with little to no graphic design experience.

Canva is available in two different versions: Paid and Free. It is the free version that has tons of hitches.

Below are a few of them:

Limited Export Settings

Canva allows users to export their designs in various formats, including JPG, PNG, and PDF. However, the platform’s export settings can be somewhat limited.

For instance, users may not have the ability to control the resolution of their exported images or to export images with a transparent background without a premium subscription.

Additionally, Canva does not support exporting files in certain formats used by other design tools, such as PSD for Adobe Photoshop or AI for Adobe Illustrator.

While Canva is a standalone design tool, many graphic designers use multiple tools in their workflow. In this context, Canva’s compatibility with other design tools can be limited.

For example, designs created in Canva cannot be directly opened or edited in Adobe Photoshop or Illustrator.

Limited Mobile App Functionality

Canva offers mobile apps for both Android and iOS, allowing users to create designs on the go. However, the functionality of these apps can be limited compared to the web browser version of Canva.

Limited Access to Premium Features Limited Creativity

The platform operates on a drag-and-drop basis, which makes it easy to use but can also restrict the level of customization and originality in the designs. This can be a significant drawback for professional graphic designers who require more flexibility and control over their designs.

Limited Customization Option

Even though Canva has a considerable variety of elements and templates, it is still limited. Some users still require help to achieve their desired design results, especially those with unique requirements.

Limited Color Options

While Canva offers a wide range of color options for your designs, it primarily operates in the RGB color model, which is ideal for digital designs.

However, if you’re creating designs for print, you might need to work in the CMYK color model, which Canva doesn’t support.

Lacks to Provide Advanced Features

However, this may still be a valuable package for beginners who need to be more involved in complex tasks and are at their learning stage.

Limited Control Over Branding Kits

Branding kits are essential tools for maintaining brand consistency across various designs. While Canva allows users to create branding kits, the control over these kits can be limited.

For instance, users may not be able to create comprehensive branding kits that include detailed elements like patterns, icons, or specific color gradients. This limitation can make it challenging for businesses to maintain brand consistency across their designs.

Internet Access

The most common and noticeable drawback is that Canva requires an active internet connection. Since it is a web-based tool, all users must have internet access to use it properly. Those with unstable or no internet access need help to work on Canva smoothly.

Limited Font and Logo Options

Canva offers a variety of fonts and logo templates, making it a convenient tool for quick design tasks. However, when it comes to professional designs, the platform may fall short. The selection of fonts, while diverse, may not cater to all design needs, especially for brands with specific typography guidelines.

Similarly, the logo templates, though numerous, may not offer the uniqueness that a brand requires. This limitation can be a significant drawback for graphic designers who need to create distinct and personalized branding elements.

Storage Limitations

Storage can be another issue with Canva. While the platform offers cloud storage for your designs, the capacity can be limited, especially in the free version. This limitation can be problematic for users who create a large volume of graphics and need to store them for future use.

Additionally, the process of organizing and retrieving designs in Canva’s storage system may not be as efficient or intuitive as in other dedicated file storage systems.

Limited Control Over Image Saturation

This could potentially affect the final look and feel of your designs, especially if you’re aiming for a specific aesthetic or mood.

Limited Social Media Integration

This limitation means users may still need to rely on additional tools for comprehensive social media management.

Limited Functionality on Mac

While Canva is accessible on various platforms, including Mac, some users have reported that the tool’s functionality can be somewhat limited on Mac computers compared to PCs.

This could potentially affect the user experience, especially for Mac users who are used to seamless integration and functionality with other design tools.

FAQs Is It Worth Subscribing to Canva Pro?

It depends on from one user to another; if your needs revolve around doing professional designing tasks, you may subscribe. Otherwise, the free version can be enough if you are a beginner or do not have extreme use purposes.

Can I use Canva to design flyers?

Yes, Canva offers templates for a variety of design types, including flyers. However, keep in mind the limitations in terms of creativity and customization.

Is Canva a good tool for professional graphic designers?

While Canva is user-friendly and convenient for quick designs, professional graphic designers may find it limiting in terms of creativity, customization, and control over design elements.

Can I use my own fonts in Canva?

Canva’s font selection is quite extensive, but if you have a specific font that isn’t available on the platform, you may not be able to use it.

Can I use Canva to design book covers?

Yes, Canva offers a range of templates for book covers. However, keep in mind the limitations in terms of color options and export settings, especially if you’re designing a cover for print.


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Anticipating The Birth Of Ai Employee Clones

I was in New York recently attending two overlapping events: the Lenovo Advisory Council and BlackBerry’s Security Summit. I have no doubt I am not alone in having to be multiple places at once.

We not only have to balance often conflicting business schedules but conflicting life schedules. We have children, spouses, friends, and hobbies along with our work, and we all realize this is not necessarily conducive to creating the right work-life balance.

These conflicts force us to make hard choices that we often regret as we approach the end of our lives. This has certainly happened to me. We might not have been there to support a child, spouse, friend or coworker when they most needed us. Because we prioritized something tactically, like attending a critical meeting, and forgot that often it is our more strategic relationships that should have had priority. Thus, our relationships with family and friends have been weakened, particularly our relationships with our children.

There is a coming AI technology that, assuming we use it correctly, could make this problem obsolete. That technology is human AI clones or human digital twins. I am using the term human AI clone, because it better reflects what is coming and better focuses on both the promise and the problem with the technology. I will cover both the promise and the problem. But I would like to set the promise of the technology as the goal — and start having people think about how this technology should be used before we find it has been deployed badly.

Let’s begin.

The promise of AI employee clones or human digital twins

The idea of creating an AI-driven clone of a person is far from new. It is at the heart of digital immortality, and it will also be critical for the creation of large-scale environmental simulations, be they focused on industry or entertainment. On the latter, the concept of realistic non-player characters (NPCs) would be a game-changer. But the true benefit to us individually is that we can delegate an increasing portion of our lives to the clone.

How much do you contribute to a meeting? That depends on the meeting. In large meetings designed to provide updates, we are often merely observers and provide no additional value. In other meetings, we may ask one or two questions, and on way too many occasions, we find we did not even need to be there. However, we seldom know this critical piece of information until we are in the meeting and see the content. Virtually no meeting leaders send their content out before the meeting. Often, even a full agenda is the exception rather than the rule.

One fix is to demand better meeting preparation. But we’ve been pushing for better meeting preparation for as long as I have been in business, and we just have not made that much progress. Granted, it could be because too many people wait until the last minute to work on their content. But if we can’t fix this problem one way, we can use technology to fix it another way. That problem is that our time is a limited resource, and we need better ways to focus that limited resource where it can be most effectively used.

See more: The Top Artificial Intelligence Companies

Preventing replacement

The problem is where I fear this technology will be focused, which is employee replacement. That would be a bad outcome: because it would cause employees to fail to train their clones; and because it would feed into too many executives’ belief that companies would run better if they could just eliminate their employees.

These human AI clones need to be owned by the employees that create them, and if they are used after the employee leaves the company, the employee should continue to be compensated. This could flow into their eventual retirement, creating a stronger reason to invest the time into creating that tool.

Assuring this technology benefits rather than harms the employee is critical to assure that it will both do what it will be able to do and drive the huge potential work-life and productivity benefits it can provide.

See more: AI, Automation, & the Future Impact on Jobs

What side is the money on?

The promise of employee clones is significant. It could mean more time spent on things we love to do at work and far less on things that waste our time and annoy us while improving work-life balance and helping to fund our retirement.

The problem will be the desire for companies to own the resulting clones and use them to replace their employees. Sadly, the money is on the wrong side of this, and our goal is to assure that this money dynamic does not drive the wrong outcome.

See more: Artificial Intelligence Trends & Predictions

Salesforce Ai: The Future Of Sales Automation


Salesforce is the world’s leading Customer Relationship Management (CRM) software, providing businesses with a platform to manage their customer interactions and streamline their sales process. In recent years, Salesforce has been at the forefront of the integration of Artificial Intelligence (AI) into its platform. Salesforce AI is the future of sales automation, and it is changing the way businesses approach sales.

Section 1: What is Salesforce AI?

Salesforce AI is a suite of artificial intelligence technologies integrated into the Salesforce platform. Salesforce AI includes a range of features, including predictive analytics, natural language processing, and machine learning algorithms. These features work together to help businesses automate and optimize their sales process, from lead generation to customer retention.

Salesforce AI is built on the Salesforce Einstein platform, which is designed to enable developers and businesses to build AI-powered applications. Salesforce Einstein is a powerful tool that provides businesses with the ability to automate and optimize their sales process using AI and machine learning.

Section 2: AI-powered Sales Automation Features

Salesforce AI includes a range of AI-powered features that can help businesses automate and optimize their sales process. In this section, we will discuss some of the key features of Salesforce AI and how they can benefit businesses.

Lead Scoring Opportunity Scoring

Salesforce AI uses machine learning algorithms to analyse a range of data points to assign a score to an opportunity. These data points can include the opportunity’s stage in the sales pipeline, the engagement of the customer with the business, and the deal size. By analyzing these data points, Salesforce AI can provide businesses with a clear understanding of which opportunities are most likely to close, allowing them to prioritize their sales efforts.

Predictive Analytics

Predictive analytics is the process of using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. Predictive analytics can be used to identify trends, forecast outcomes, and identify potential risks.

Natural Language Processing

Salesforce AI includes a range of NLP tools, including sentiment analysis and chatbots. Sentiment analysis can be used to analyse customer feedback, reviews, and social media posts to understand how customers feel about a business. Chatbots, on the other hand, can be used to automate customer interactions, providing customers with quick and easy responses to their queries.

Automated Email Campaigns

Automated email campaigns allow businesses to send targeted and personalized emails to their customers, based on their behaviour and engagement with the business.

Salesforce AI includes a range of tools to help businesses automate their email campaigns. These tools can be used to send targeted and personalized emails to customers at the right time, helping businesses increase their conversion rates and sales.

Sales Forecasting

Salesforce AI includes a range of sales forecasting tools, including predictive forecasting and opportunity tracking. These tools allow businesses to gain insights into future sales trends, allowing them to make informed decisions about their sales strategy.

Section 3: Benefits of Using Salesforce AI

There are many benefits to using Salesforce AI in sales automation. In this section, we will discuss some of the key benefits of using Salesforce AI.

Improved Efficiency

Salesforce AI can help businesses automate and optimize their sales process, reducing the amount of time and effort required to close deals. By automating tasks such as lead scoring and email campaigns, businesses can focus their efforts on high-priority tasks, increasing their efficiency and productivity.

Increased Sales Improved Customer Experience

Salesforce AI can help businesses improve their customer experience by providing personalized and targeted interactions. By using NLP and chatbots, businesses can provide quick and easy responses to customer queries, increasing customer satisfaction and loyalty.

Better Sales Forecasting

By using predictive forecasting and opportunity tracking, businesses can plan and allocate resources effectively, reducing the risk of over- or under-investment.

Competitive Advantage Section 4: Challenges of Implementing Salesforce AI

While there are many benefits to using Salesforce AI in sales automation, there are also challenges businesses may face when implementing this technology. In this section, we will discuss some of the key challenges of implementing Salesforce AI.

Data Quality

Salesforce AI relies on high-quality data to provide accurate insights and predictions. Poor data quality can lead to inaccurate predictions and insights, reducing the effectiveness of Salesforce AI. To overcome this challenge, businesses need to ensure their data is clean, accurate, and up-to-date.


Salesforce AI requires integration with other systems and technologies to work effectively. Integrating Salesforce AI with existing systems and technologies can be challenging, and businesses may need to invest in additional resources and expertise to ensure a seamless integration.


Implementing Salesforce AI can be expensive, and businesses may need to invest in additional resources and expertise to implement and maintain this technology. This can be a significant barrier for small and medium-sized businesses, who may not have the resources to invest in Salesforce AI.

Employee Training

Implementing Salesforce AI requires employee training to ensure they can effectively use and integrate the technology into their sales process. This can be time-consuming and expensive, and businesses need to ensure they have the resources to provide adequate training to their employees.

Security and Privacy

Salesforce AI relies on sensitive customer data to provide insights and predictions. Ensuring the security and privacy of this data is crucial, and businesses need to ensure they have adequate security measures in place to protect this data.

Section 5: Future of Salesforce AI

Salesforce AI is still a relatively new technology, but its potential for sales automation is vast. In this section, we will discuss some of the future developments and trends of Salesforce AI.

More Advanced Predictive Analytics Improved Integration with Other Technologies

As mentioned earlier, integration is crucial for the effectiveness of Salesforce AI. We can expect improved integration capabilities with other technologies, making it easier for businesses to integrate Salesforce AI into their existing systems.

Increased Personalization

Personalization is becoming increasingly important for customer satisfaction and loyalty. We can expect Salesforce AI to become even more personalized, providing targeted and personalized interactions with customers based on their preferences and behaviour.

Improved Natural Language Processing

NLP is crucial for automating customer interactions, and we can expect Salesforce AI to continue to improve its NLP capabilities. This will enable even more efficient and effective customer interactions, leading to increased customer satisfaction and loyalty.

Greater Adoption of Salesforce AI

The Future Of Ai Technology: List Of Jobs Where Ai Will Take Over

Here of the future of AI technology

Artificial intelligence is already pervasive in our digital life, from cell phones to chatbots. You just don’t realise it yet. The popularity of AI is growing, thanks in part to the vast amounts of data that machines can collect about our interests, purchases, and activities on a daily basis. Artificial intelligence researchers utilise all of this information to teach machines how to understand and predict whatever we want or don’t want. Let’s take a look at where AI is headed in the future.  


Netflix, step aside. In the future, you could relax on your couch and order a personalised movie with your favourite virtual actors. Meanwhile, film companies may be able to avoid flops in the future: The storyline of a movie script will be analysed by sophisticated predictive computers, which will forecast its box office possibilities.  


Why would you want to take medicine that is beneficial for the ordinary individual when you could have it personalised to your specific genome? Doctors and hospitals will be able to more effectively evaluate data and tailor health care to each person’s genes, surroundings and lifestyle thanks to AI algorithms. AI will drive the personalised medicine revolution, from detecting brain tumours to determining which cancer treatment would work best for each individual.  


In 2023, there were around 707 million cybersecurity vulnerabilities, with 554 million in the second quarter of 2023. Companies are fighting to keep one step ahead of cybercriminals. AI’s self-learning and automated skills, according to USC experts, can help consumers protect their data more consistently and inexpensively, keeping them safe from terrorism or even small-scale identity theft. Before harmful computer viruses and programmes can steal vast amounts of data or wreak chaos, AI-based techniques hunt for patterns linked with them.  

Vital Tasks

AI assistance will help seniors maintain their independence and stay in their homes for extended periods of time. Artificial intelligence (AI) systems will ensure that healthy food is constantly available, that things on top shelves are safely reached, and that movement in a senior’s home is tracked. Many other repetitious and physical jobs are ideal candidates for AI-based technologies. However, in dangerous fields such as mining, firefighting, mine clearance and handling radioactive substances, AI-assisted employment may be even more vital.  


Self-driving cars are one area where AI may have the greatest impact in the near future. AI drivers, unlike people, never give up at the radio, apply mascara, or squabble with their children in the backseat. In European cities, self-driving trains have already taken over the rails, and Boeing is developing an autonomous airliner.  

List of Jobs Where AI Will Take Over Customer Service Executives

To do their tasks, customer service agents wouldn’t need a high level of social or emotional intelligence. Many organisations increasingly rely on AI to answer frequently asked questions and provide customer care. Chatbots are becoming more than just a part of customer support. They also respond to a variety of internal inquiries.  

Bookkeeping and Data Entry Receptionists

In the long run, automated check-ins in both small and large motels will reduce the need for hotel staff. Customers can now place orders through communication displays or tabs in fast food places. There’s a good chance that, with AI, machines will be able to handle purchasing and other related activities.  


While editing is more difficult in terms of tone, comprehension, and other factors, proofreading is a much easier task. Different applications can easily detect grammar errors, sentence construction mistakes, and other mistakes. Grammarly, for instance, is one of the most well-known programs for this purpose among professionals.  

Retail Services

People who handle sales have been replaced by automated services. Many merchants are focusing on self-ordering and payment methods, and AI can be incorporated fast. In order to truly comprehend client habits, many retail professions are being substituted by robots. Furthermore, the substantial data analysis performed by AI machines reveals alternative products that customers may be interested in in the future.  

Courier Services

As a wake of AI, the shipping sector has undergone various social and economic changes. Several logistics and supply chain operations have been streamlined. As deliveries, drones and robots are already substituting people. Robotic automation will have the biggest effect on the shipping industry in the future years, aside from the manufacturing industry.  


Military experts believe that future battlefields will be populated by robots capable of following orders without continual monitoring. Robots are utilised extensively in military operations for a variety of functions including surveillance, data and many more.  

Taxi and Bus Drivers

This industry has a 97 % likelihood of being entirely automated. Self-driving cars are already on the market, and fully autonomous cars won’t be far behind.

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