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The future of responsible, transparent, community-trusted AI products is here.
At some point in your life, you’ve either left an online review on a product or service or you’ve read an online review. You’re also the intelligent click-bait averse kind that reads the comment section first, before watching the video. If you’re also someone who will settle for nothing but the best AI solution, in a world of limitless solutions, AI Society exists for you.
“There are a lot of awesome websites that list AI Resources and these are great and very much needed but none that give Reviews and Ratings for someone to evaluate whether it is worth their Company’s time and resources to adopt and implement them as a Framework or a Solution. DataEthics4All wanted to give Companies a way to look at AI products, platforms, tools, solutions, toolkits, frameworks, etc, learn from the ratings and see whether it would be worth their Company’s time and resources to invest in it. An Amazon equivalent exclusively for AI Solutions.
Our AI Society not only hopes to provide ratings about price, ease of use and customer service but would also like to add ratings for ethics, privacy and trust to help informed Customers see whether a Company uses data and has built a solution keeping Ethics by Design at the forefront.”
– Shilpi Agarwal, Founder and CEO of DataEthics4All
About AI Society
AI Society is the world’s 1st directory of AI resources with customer reviews that cover ethics, transparency and trust.
Through months of hard work from volunteer team members during the summer of 2021, AI Society went from being an idea, to a platform that houses the most essential information on 100+ AI products and growing.
In less than 3 months, detailed AI product pages exist on the dataethics4all website that walk you through a product overview, user reviews, further information about the company and a closer look at the product itself. The AI companies span the retail & e-commerce, healthcare, education, finance, logistics and overall technology industries. Top brand names include Amazon, IBM and Google.
You, the customer.
As an AI product customer, you get the ability to see what people have to say about the product under the lens of ethics, transparency and trust. Having reviews curated this way allows you to have more focused and relevant reviews than you might find on other, generic product review platforms. As a member of the AI society, you get the chance to, through your reviews, give back not just to the community but also to the field of AI research & development. Product reviews on AI Society have a higher likelihood of not only reaching the company, but also the decision-maker(s) relevant to the product itself.
You, the company.
Being a product owner is powerful and comes with its own responsibility, and we recognize that. We’re here to help you serve your customers better. All while fulfilling your ethical, moral and social responsibility towards our technological advancement as a race. Whether you are beta testing a brand new product or are on your 10th generation of your product lifecycle, AI Society offers you quality criticism from your customer base so you can understand and take action on enhancements as rapidly as possible.
The project could not have made it this far if it wasn’t for our intern Nicola Green from Oxford University and our youth summer volunteer Devon Thomas (who earned the PVSA silver award through this work).
We at AI Society believe in removing the barriers that divide AI companies and their AI customers. We recognize the shared value from both sides and hope that you do too. Come have a look for yourself, we can’t wait to welcome you to the AI Society!
Kevin Rose Dias is a Volunteer Member of the DataEthics4All Leadership Council and an experienced data analytics professional with a passion towards data-driven storytelling. He holds several credentials from Salesforce, Adobe, IBM and Microsoft that span website analytics, DMPs and cloud computing. He has a proven track-record in helping clients understand their online customers better and optimize their marketing campaigns towards meeting their goals. Through DataEthics4All, Kevin is excited to apply his expertise and play a part in creating a more ethical, diverse and safe future for everyone.
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A large gap in GDPR violations between EU countries and different industries
Overview.
What is GDPR?
The General Data Protection Regulation (GDPR) is the toughest data privacy and protection law in Europe. It was adopted on April 14th, 2016 after passing European Parliament and became enforceable on May 25th, 2018. It is applicable on companies and organizations worldwide as long as they target data of citizens or residents of the European Union member states. It is composed of 99 Articles, each stating certain laws, principles or provisions about a particular data protection regulation. The GDPR also provides 173 Recitals of the regulation as a resource and guideline for individuals and organizations who are involved in any data transfer. The GDPR’s understanding of data protection is very deep and it is proven by the 7 data protection principles which were highlighted in Article 5 of the GDPR:
1. Lawfulness, fairness and transparency
2. Purpose limitation
3. Data minimization
4. Accuracy
5. Storage limitation
6. Integrity and confidentiality
7. Accountability
The GDPR is in fact an extension of the European Convention on Human Rights in 1950. The EU needed to adapt to technological change in human lives, hence, provide up-to-date human rights laws including the right for personal data privacy and protection of Personally Identifiable Information (PII) from exploitation and misuse. The individuals/organizations that are required to be compliant to the GDPR are mainly one of two types:
- Data Controller: The employee or the organization that has the decision-making power when it comes to how and why data from the EU is being used.
- Data Processor: The third party that is responsible for processing the data on behalf of the data controller.
Both parties have a set of special GDPR rules specific to them besides the general ones, which they also need to abide by. Otherwise, these two parties will face serious penalties from European data authorities.
GDPR Violations by volume.
The GDPR’s penalty fines can be very important, depending on the article corresponding to the violation committed by either the Data Controller or Data Processor. These penalty fines have a wide range from a few hundred Euros to 20 Million Euros (24.1 Million Dollars) or 4% of global revenue which in most cases is considered higher than 20 M€.
Fines of GDPR violations in the European Union witness serious peaks in 2021
Total Fines for GDPR Violations in 2021 (Million Euros)
You may hover over the chart data points for more details.
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The total amount of fines paid by GDPR violators in European Union member states ranges from 0 to 10.4 Million € in the first 7 months of 2021. The fines reached their maximum of 10.4 M€ on January 8th, 2021 where Articles 5 and 6 of the GDPR were violated both in one day by a single organization. The violation was commited by an electronics retail company in Germany that had video-monitored its employees for more than 2 years without having sufficient legal biasis for this personal data processing. The data protection law violation was made in the name of warehouse security and theft prevention.
The total fines exceed 1 Million Euros in the months of January, March, May and June of 2021. Each of these months showcases at least 2 peaks in GDPR fines in the EU which demonstrates the gravity of the crimes discovered in 2021.
Could the digitalization of the world of business during the pandemic have made a contribution in the rise of these serious GDPR violation? Which EU countries are behind these Data Controllers? And which industries are the most negligent of GDPR data privacy and protection laws?
GDPR Violations by type.
More than 5 unique types of GDPR Violations were detected in 2020 & 2021
The General Data Protection Regulation developed 99 precise articles to adress various data privacy and protection crimes. In the years 2020 and 2021, more than 5 GDPR violation types were distinguished in order to classify each GDPR law breaking activity and make them understandable for EU citizens and residents who are not very familiar with the GDPR.
Percentages of GDPR Fines by Violation Type (2020-2021)
You may hover over the bar chart for more details.
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Almost half of the violations in the specified timeframe were merely a result of insufficient legal basis for data processing, including some of the most serious GDPR law violations in the EU. The data processing refers to but is not limited to collecting data, manipulating data and transfering it without legal consent (with or without commerical purposes).
26.4% of the detected violations are due to insufficient technical and organisational measures to ensure information security which in Article 32 of the GDPR mainly consists on making sure data controllers and processors encrypt personal data, ensure confidentiality and the resilience of processing systems and provide regular evaluation tests for technical and orgnizational security measures. This category’s average amount of fine is about 524,000 €.
On the other hand, only 4% of GDPR law breaches correspond to insufficient fulfilment of information obligations with only an average fine of almost 289,000 €. This could be expained by the simplicity of this particular violation because most of the cases it only occurs when there is miscommunicated information between the Data Controller/Processor and the PII provider. An example would be displaying an ambigious “Terms of Services” agreement or an unclear “Data Privacy” disclaimer and acting on them to collect private data without full and concrete consent of the client/user.
Meanwhile, less than 1% of the violations resulted from various not so frequent types such as insufficient cooperation with supervisory authority, insufficient data processing agreement, insufficient fulfilment of data breach notification obligations and lack of appointment of data protection officer.
These types may seem unnecessary to some organizations. This leads to disregarding the importance that comes with these detailed data security measures and protection procedures. However, the penalty fines to one of these rare violations ranged from 500 € to 475,000 € in the years 2020 and 2021.
GDPR FINES by Country.
Ranking European Union countries of fined organizations from 2020 to Mid 2021
The General Data Protection Regulation has proven to be severe and taken seriously by the European Union, Data Controllers and Data Processors since spring 2018. But, circumstances change overtime such as the unprecedented global pandemic in the start of 2020. Around the same time, many organizations felt threatened by a possible economic recession and became utterly dependent on the digitalization of their activities, especially given the Coronavirus restrictions in Europe and work-from-home policies to prevent the spread of the virus. Subsequently, these organizations relied on data on many levels (clientele, personnel, etc.) and took multiple decisions that affected the data but also violated at least one of the 99 GDPR Articles. This lead the Data Controllers/Processors‘ short term solutions to long term legal and financial problems.
The cumulative volume of GDPR fines from 2020 to Mid 2021 varies by EU country as follows:
Top 10 EU Countries by Cumulative GDPR Fines (2020-2021)
You may pause the progress bar chart and change ranking from highest to lowest.
Spain has proven to be the only EU country remaining in the Top 5 ranks of cumulative GDPR fines for 19 months since the start of 2020. This translates to a series of GDPR violations with penalties reaching a total over 43 Million Euros. Meanwhile, Italy has not left the #1 rank since January 15th, 2020. This escalation of GDPR violations’ fines is alarming given that the Italian data authorities already have an Italian Data Protection Code which has been progressively reformed since the GDPR’s additions in data protection laws and its derogation of some others.
Austria, however, shows a good example of “Data Discipline” for the rest of the EU member countries as the only one where the total GDPR fines never exceeded 850 € since 2020. Austria remains the lowest fined country for GDPR law breaking throughout the timeframe except on October 19th, 2020 when two private individuals violated articles 5,6 and 9 of the GDPR because of insufficient legal basis for data processing, both from health care and private sector. This demonstrates that Man can be individually responsible for the crimes of an entire organization –public or private– and can influence its legal status as well as the image of the country of operations in terms of data ethics. Fortunately, the Austrian Data Protection Authority (DSB) was one of the numerous local data protection laws in Austia that had enforced strict regulations for the sake of personal data privacy and protection from unethical processing. Till date, Austria is the least fined EU Country for GDPR violations.
GDPR FINES by Industry.
Percentages of Total GDPR Fines by Industry (2020-2021)
You may hover over the column chart for more details.
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The chart indicates that the General Data Protection Regulation has not made the same impact on actions from different industries. The total fines percentages of Data controllers and processors from Media, Telecommunication & Broadcasting as well as Human Resources & Employment indicate a certain level of negligence and repetitive unlawful behavior towards personal data of EU citizens and residents, respectively around 37% and 21%. Together, these two industries represent more than half of penalized individuals / organizations because of their constant dependency on PII for business growth and lucrative purposes.
On the other hand, Individuals & Private Associatons have shown more precaution when dealing with data while respecting the GDPR articles, particularly the ones with the highest amounts of fines. A minority of 0.1% of total fines are mainly from industries such as Real Estate.
Review.
The European Union has made a big step forward when enforcing the GDPR on EU member countries. Not only has it started raising awareness about the importance of technological inclusion in human rights laws but it also started fighting against attackers on EU data and penalizing them in order to make an example. However, this does not cover the fact that many organizations are still trying to outsmart the GDPR by violating articles with legitimate excuses such as staff control, business operations, misunderstanding of data privacy policies, etc. Most of these violations fall under insufficient legal basis for data processing which in the EU has increased the total amount of fines in 2020 & 2021. The cumulative amount of GDPR fines proved that there is a large gap between EU countries in terms of data ethics and legal data collection and processing methods. The largest gap from January 2020 until July 2021 remains between Austria and Italy. The fastest way to reduce this gap is by having Austrian and Italian local data authorities cooperate into making parallel local laws and mutual sensibilization compaigns for Data Controllers and Processors. The purpose would be reducing the GDPR penalties’ volume during Covid-19 crisis where data became the most valuable asset. Some individuals / organizations misinterpret the GDPR as an ethical choice. But, if everyone undermines data protection laws, nobody will be safe again.
Data.
- Source: GDPR Enforcement Tracker
- URL: https://www.enforcementtracker.com/
- Publisher: CMS.Law (data protection law firm)
- Retrieved: July 27th, 2021.
- Last Update: July 31st, 2021. (It’s weekly updated by the CMS)
- Description: The CMS.Law GDPR Enforcement Tracker is an overview of fines and penalties which data protection authorities within the EU have imposed under the EU General Data Protection Regulation (GDPR). The aim is to keep the list as up-to-date as possible.
Author.
Sarra Hannachi is a Master of Science Student in Business Analytics at Tunis Business School, Tunisia and a Data Storytelling Intern at DataEthics4All. She’s passionate about statistics and data science and about organizations that apply their data practices ethically and for the greater good. Sarra is also the leader of a Data Science Club “DSC TBS” in her campus for business students looking to enhance their skills in Data Science & AI and to enrich their knowledge of these fields.
Contact: LinkedIn
Gumgum Verity
As seen on DataEthics4All, GumGum is a global technology and media company specializing in contextual intelligence. For over a decade, GumGum has applied our proven machine learning expertise to extract value from digital content for the advertising and sports industries.
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Product Overview.
Targeting that’s twice as smart
Verity™, the artificial intelligence at the heart of our platform, delivers the industry’s most sophisticated contextual targeting without sacrificing brand safety or campaign reach.
User Reviews.
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About the Company.
GumGum is a global technology and media company specializing in contextual intelligence. For over a decade, GumGum has applied our proven machine learning expertise to extract value from digital content for the advertising and sports industries. For advertisers, GumGum offers a full suite of pioneering future-proof solutions. The company’s contextual advertising engine, Verity™, comprehends the meaning of text, images and video online, allowing marketers to safely and precisely place ads where people are most engaged. Combining that contextual targeting and brand safety intelligence with proprietary high-impact ad formats, GumGum’s advertising solutions deliver industry leading efficiency, accuracy and performance.
Other Products.
GumGum’s contextual intelligence platform is the main product of the company. The product offers each of these features to your convenience:
Find the perfect placements with confidence: Verity™ enables the highest degree of customization, providing signals for the IAB’s most recent content taxonomy, major seasonal events, and sentiments expressed.
Keep your brand safe with pre-bid protection: Verity™ scans digital content for offensive text and imagery and filters for eligible inventory based on your brand’s unique safety concerns—before an ad is served. Rest assured you’ll stay safe while maximizing reach.
Respect privacy and future proof your campaigns: You can safely say goodbye to cookies with Verity™. Their technology relies on contextual data, not the behavioral data cookies collect. Stay on the right side of evolving privacy regulations because your contextual campaigns are firmly within bounds.
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Then fill out the Application to Join the DataEthics4All AI Society today!
Otter.ai Otter for Education
As seen on DataEthics4All, Otter.ai creates technologies and products that make information from important voice conversations instantly accessible and actionable.
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Other Products.
Otter Business: Otter.ai frees you from taking notes at meetings, by automatically joining selected meetings, and producing live transcriptions that you and other participants can annotate and highlight in real-time.
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Then fill out the Application to Join the DataEthics4All AI Society today!
Kanverse.ai AP Invoice Automation
As seen on DataEthics4All, Kanverse Intelligent Document Processing (IDP) reduces document processing cycle time from hours to seconds, optimizes operations cost, and turbocharges productivity by freeing up staff from repetitive and manual tasks.
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Product Overview.
Kanverse – Bring AI-Powered Intelligence to your Oracle ERP Systems
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Other Products.
Kanverse.ai is one singular product. The product offers each of the following for your convenience:
Multichannel and Multilanguage document import: Import documents from your preferred choice of channels and handle documents in multiple languages for processing.
AI-powered auto-classification: Identify and classify documents of interest and other supporting documents and process only the required documents and pass the others through to the system of records.
Highly accurate extraction of up to 99.5%: Recognize and extract the header, line-item data, and data from tables based on business needs using AI-powered OCR. Ingestion of single, multi-invoice documents and in pdf, image form. Automatically extract data and process multiple invoices from a single document.
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Then fill out the Application to Join the DataEthics4All AI Society today!
Cleareye.ai
As seen on DataEthics4All, Cleareye's patent-pending Machine Teaching technologies deliver radically simplified human interactions while significantly improving efficiency and productivity across your organization.
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Cleareye – Highly Advanced. Brilliantly Simple.
User Reviews.
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Other Products.
Cleareye.ai is one singular product. The product offers each of the following for your convenience:
Jasper: Solving LIBOR Transition, KYC, AML, and Accounts Payable problems through Document Ingestion, Validation, and Enrichment: identify any type of document, extract entities to drive business decisions, and make amendments.
Topaz: Income Verification, Credit Fraud Detection, Anti- Money Laundering, and Financial Crime detection enabling banks to identify fraudulent transactions through the discovery of hidden transactional patterns and reducing false positives.
Arya: Financial Wellness Advisor, Small Business Coach, Banking Assistant, Call Center Assistant for more meaningful human interactions as your Digital Assistant versus conventional chatbots.
Amber: Customer Preferences, Sentiment Mining, Social Credit Scoring with real-time behavioral anomaly and life event detection to gather market intelligence and insights.
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IV.AI
DataEthics4All introduces IV.AI, a technology company that empowers organizations around the world to fix hard problems with the industry-leading AI platform. Join Walmart, Samsung, Disney, Netflix and +100 other leading organizations via IV.AI's team of AI experts who lead a
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Product Overview.
IV.AI is a technology company that empowers organizations around the world to fix hard problems with the industry-leading AI platform. Join Walmart, Samsung, Disney, Netflix and +100 other leading organizations via IV.AI’s team of AI experts who lead a no-code experience with human-readable insights. Organization leaders optimize their business whilst asking important questions from structured and unstructured datasets. See case studies, play with live AI models trained on +6BN data points, and explore the success metrics that prove the value a well built and socially responsible AI can provide. Unlike other AI companies, IV.AI does not promise an omniscient being, capable of mysteriously finding solutions… AI doesn’t work that way. Instead, IV.AI work with you to identify business opportunities that can be driven by AI while saving time and money.
User Reviews.
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About the Company.
The IV.AI founding team came from Google, Amazon, Oracle, and Microsoft with a mission to make AI understandable, validatable, and malleable to every organization leader especially non-data scientists
Other Products.
MAGNET: Clusters information based on similarity and relationships to other ideas to inspire meaningful business growth
GLUE: An AI layer that learns systems that lend context to unstructured data to ensure the entire technical architecture can blend
SAFE: Funding elaborate AI integrations from cost centers, changing business channels into smart signals that save money
FREEZER: Instantly alerting leaders of unknown concepts or important changes that are relevant to their business, vertical, or research initiatives
PENCIL: Communicates the right thing to the right person at the very moment they need the answer to make an informed decision
RECEIVER: Automate costly audio channels such as phone and video by analyzing signals and resolving customers needs
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Advance.ai
As seen on DataEthics4All, sophisticatedly forged ID documents are hard to detect by human eyes. ADVANCE ID Forgery Detection can solve such problems effectively.
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Other Products.
Advance.ai is one singular product. The product offers each of the following for your convenience:
Assurance of identity authenticity: It is an essential complement to biometric verification and authentication.
Frictionless user experience: It has an easy-to-use operator interface, and the user can finish the whole detecting process within seconds.
Cost reduction: A fully automated detecting process can offload human stuff from performing the checks.
More robust anti-fraud due diligence: Provide additional anti-fraud rule configuration options, enabling financial institutions to perform a comprehensive fraud check.
Business significance: Lower fraud risks and enhance the efficiency of businesses.
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Appzen
As seen on DataEthics4All, using computer vision, deep learning, and semantic analysis, Appzen has built the world’s leading AI platform for modern finance teams.
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Appzen – Their AI learns from the best – you
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About the Company.
Other Products.
Appzen is one singular product. The product offers each of the following for your convenience:
Computer vision: They extract information from your unstructured documents like receipts, contracts, and invoices.
Deep learning: They see patterns and solve complex problems from high volumes of data.
Semantic analysis: They make sense of your information in the context of your business.
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AlphaSense
As seen on DataEthics4All, AlphaSense is the leading market intelligence platform. AlphaSense helps business professionals make data-driven decisions with confidence. Tap into thousands of premium business data sources — indexed, searchable, and all in one place.
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