IBM Journey to AI blog

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Even organizations that don’t fall under the GDPR’s purview may adopt its requirements to strengthen data protections. Privacy policies should use plain language that anyone can understand.

Automation 202

Automation Explainability OpenAI ChatGPT 202

AI News

JANUARY 2, 2024

Additionally, Roberts highlighted the risks associated with AI influencing privacy and the potential for bias in decisions in discretionary matters like flight risk and recidivism. The post US Chief Justice: AI won’t replace judges but will ‘transform our work’ appeared first on AI News.

Big Data 309

Big Data Artificial Intelligence Artificial Intelligence AI 309

IBM Journey to AI blog

MAY 2, 2023

However, this huge potential comes with risks, such as the generation of fake content and harmful text, possible privacy leaks, amplification of bias, and a profound lack of transparency into how these systems operate. We don’t need a pause to prioritize responsible AI. AI is an ever-evolving technology.

AI Developer 254

AI Developer AI Development AI AI 254

IBM Journey to AI blog

MAY 9, 2024

Healthcare organizations must adhere to data privacy regulations like HIPAA and GDPR. At the same time, implementing a data governance framework poses some challenges, such as data quality issues, data silos security and privacy concerns. Increased data security and privacy In the healthcare industry, data privacy is integral.

ETL 180

ETL Data Quality Automation Metadata 180

IBM Journey to AI blog

SEPTEMBER 6, 2023

From maintaining the quality of the large data sets needed to train AI to complying with the field’s ever-expanding privacy laws, organizations that haven’t used AI before are understandably cautious. Step 1: Establish goals The first step to integrating AI into a marketing campaign is to set out goals and expectations.

Automation 210

Automation Data Scientist AI AI 210

AI News

APRIL 24, 2024

Privacy is another benefit by keeping data on the device. “Instead of training on just raw web data, why don’t you look for data which is of extremely high quality?” “We don’t take everything that we produce.” Potential use cases include smart sensors, cameras, farming equipment, and more.

Big Data 246

Big Data Large Language Models AI Modeling Generative AI 246

IBM Journey to AI blog

MARCH 29, 2024

If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance? Challenge 4: Build sustainment and resiliency The initial deployment of AI in APM isn’t the last stop on the road. Undoubtedly.

Generative AI 222

Generative AI AI AI Artificial Intelligence 222

Marktechpost

JANUARY 16, 2024

Person Re-identification (Person Re-ID) in Machine Learning uses deep learning models like convolutional neural networks to recognize and track individuals across different camera views, holding promise for surveillance and public safety but raising significant privacy concerns.

Deep Learning 109

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 109

IBM Journey to AI blog

FEBRUARY 22, 2024

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications. And our work doesn’t stop there.

Automation 196

Automation Generative AI AI AI 196

Unite.AI

NOVEMBER 10, 2023

The price tag of $699, coupled with a $24 monthly subscription for additional services like a phone number and data coverage through T-Mobile, places the AI Pin in the higher echelon of wearable technology. However, the effectiveness of this feature in providing real assurance of privacy and data security is debatable.

AI 230

AI AI AI Modeling OpenAI 230

Flipboard

SEPTEMBER 5, 2023

Generative AI could be a revolution in health care — but along the way, it will have to address concerns about whether tools meet standards of safety, privacy, equity, and practicality.   But while enthusiasm for generative AI is high and research is booming, it’s just starting to gain a toehold in clinical settings.

Generative AI 177

Generative AI Large Language Models Deep Learning AI 177

Marktechpost

APRIL 29, 2024

The privacy implications of tabular information are substantial, though, and they should not be openly disclosed. Adding custom metrics to benchmarks is a breeze and doesn’t need editing the source code. The findings make it clear that guaranteeing high utility does not automatically mean good privacy.

Machine Learning 117

Machine Learning Computer Vision Algorithm Categorization 117

Marktechpost

SEPTEMBER 24, 2023

Image anonymization involves altering visual data to protect individuals’ privacy by obscuring identifiable features. Striking a balance between privacy and model performance remains a significant challenge. Researchers continuously seek methods to maintain data utility while ensuring privacy.

Computer Vision 122

Computer Vision AI Researcher AI Research ML 122

Marktechpost

DECEMBER 6, 2023

Even with OpenAI’s best efforts to protect privacy, regular posts and conversations add to a sizable amount of personal information that shouldn’t be publicly disclosed. The post Privacy Concerns Surrounding LLMs like ChatGPT: This AI Paper Unveils Potential Risks and Safeguarding Measures appeared first on MarkTechPost.

ChatGPT 114

ChatGPT OpenAI Large Language Models AI 114

Marktechpost

NOVEMBER 15, 2023

Notably, it activates by touch rather than always listening, enhancing privacy. Privacy and Connectivity Emphasizing privacy, Humane assures that user data will not train the AI but only enhance personalization. Its camera can recognize objects and project information onto the user’s hand, creating a screenless display.

AI 98

AI AI Artificial Intelligence Artificial Intelligence 98

Marktechpost

OCTOBER 24, 2023

In lifelong robot learning, three vision-language policy networks were employed: RESNET-RNN, RESNET-T, and VIT-T. RESNET-T used a ResNet and transformer decoder for visible and temporal token sequences. RESNET-T used a ResNet and transformer decoder for visible and temporal token sequences.

Robotics 120

Robotics BERT Algorithm AI Researcher 120

IBM Journey to AI blog

MAY 20, 2024

But trust isn’t important only for executives; before executive trust can be established, data scientists and citizen data scientists who create and work with ML models must have faith in the data they’re using. Executives evaluating decisions made by ML algorithms need to have faith in the conclusions they produce.

Machine Learning 236

Machine Learning Data Scientist ETL ML 236

IBM Journey to AI blog

AUGUST 23, 2023

Privacy and re-identification risk AI models learn from training data, but what if that data is private or sensitive? This makes the job of governing model input data infinitely more complex as we don’t just have to worry about the initial training data. This is inherently risky. Some of these risks include: 1.

Large Language Models 139

Large Language Models Data Discovery LLM AI 139

IBM Journey to AI blog

JANUARY 22, 2024

The law outlines a set of data privacy rights for users and a series of principles for the processing of personal data. The GDPR doesn’t only apply to businesses using customer data for commercial purposes. Subjects need not be EU citizens to have data privacy rights under the GDPR. They merely need to be EEA residents.

Automation 215

Automation Explainability 215

IBM Journey to AI blog

MAY 28, 2024

Access control —making critical data accessible only to employees who need it and not to those who don’t. This process helps ensure that even if unauthorized individuals access encrypted data, they won’t be able to understand or use it without a decryption key. Encryption is critical to data security.

Categorization 138

Categorization Algorithm 138

Marktechpost

MAY 10, 2024

An antidetect browser is a web browser application that creates separate browsing environments with its digital fingerprint, providing internet users with more privacy. Whether you’re looking to improve your privacy or manage multiple social media, e-commerce, or ad accounts, antidetect browsers can greatly help.

Automation 105

Automation Robotics 105

Flipboard

OCTOBER 28, 2023

They address topics like privacy, bias, education, and the future of work. AI product developers need to be wary of information overload, and up front about privacy issues. But we can’t simply reencode years of bias into algorithms and call it a day. Based on user feedback, it shifted to a post-meeting recap instead.

Large Language Models 123

Large Language Models Software Development AI AI 123

Flipboard

MARCH 28, 2023

As with other AI tools, however, Microsoft cautions that this one isn’t perfect. ” Microsoft says the tool includes privacy protections and controls for internal customer data. A release date and pricing haven’t been announced. “AI-generated content can contain mistakes.

Large Language Models 127

Large Language Models Chatbots OpenAI Artificial Intelligence 127

AI Weekly

OCTOBER 19, 2023

arstechnica.com Applied use cases New technique based on 18th-century mathematics shows simpler AI models don't need deep learning Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics.

Robotics 203

Robotics Deep Learning Artificial Intelligence Artificial Intelligence 203

AI News

APRIL 25, 2024

He outlined a litany of potential pitfalls that must be carefully navigated—from AI hallucinations and emissions of falsehoods, to data privacy violations and intellectual property leaks from training on proprietary information. “They didn’t greenlight it.

Responsible AI 246

Responsible AI Big Data AI AI 246

IBM Journey to AI blog

MAY 17, 2024

But customers aren’t yet completely on board. A full one-third of consumers found their early customer support and chatbot experiences that use natural language processing (NLP) so disappointing that they didn’t want to engage with the technology again. And

Generative AI 174

Generative AI Automation AI AI 174

IBM Journey to AI blog

JANUARY 25, 2023

A need to ensure data privacy and data security Data privacy and data security are major challenges when it comes to managing the increasing volume, usage, and complexity of new data. If any or all of these seven challenges feel familiar, and you need support with your data governance strategy, know that you aren’t alone.

Linked Data 130

Linked Data Data Quality AI AI 130

Unite.AI

FEBRUARY 15, 2024

These include technological infrastructure constraints, data privacy and security concerns, and the lack of adequate talent. The report highlights how leading companies like Morgan Stanley and AT&T are utilizing gen AI for internal operations, while others like Expedia Group and Sephora are leveraging it for customer-centric solutions.

Generative AI 100

Generative AI ML Engineer AI AI 100

IBM Journey to AI blog

AUGUST 16, 2023

These include security and data leakage, confidentiality and liability concerns, intellectual property complexities, compliance with open-source licenses, limitations on AI development, and uncertain privacy and compliance with international laws. which underscores the importance of data privacy and ownership in the enterprise.

ChatGPT 142

ChatGPT Chatbots Natural Language Processing AI Chatbots 142

Marktechpost

NOVEMBER 14, 2023

The clinical text’s sensitive patient information also raises concerns about privacy and regulatory compliance. Creating synthetic training data with LLMs is a potential technique to address these issues as it uses LLMs’ capabilities in a resource- and privacy-conscious way.

NLP 120

NLP LLM AI Modeling Large Language Models 120

Pickl AI

NOVEMBER 23, 2023

Discover the pivotal alliance between AI and data protection, addressing escalating concerns around privacy and security in the rapidly growing AI market. Uncover real-world examples of AI privacy issues, ethical considerations, legal frameworks, and best practices for harmonious integration, ensuring a secure and trustworthy digital future.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

AI Weekly

JANUARY 4, 2024

forbes.com Ethics California senator proposes ethical guidelines for AI contractors in the state Senate Bill 892 requires the Department of Technology to establish safety, privacy and nondiscrimination standards for AI services. Sissie Hsiao, Google Sissie Hsiao, Google's vice president and the general manager of Bard and Google Assistant.

Robotics 211

Robotics Large Language Models Artificial Intelligence Artificial Intelligence 211

IBM Journey to AI blog

JULY 7, 2023

Data protection and data privacy Data protection , defined as protecting important information from corruption, damage or loss, is critical because data breaches resulting from cyberattacks can include personally identifiable information (PII), health information, financial information, intellectual property and other personal data.

Automation 100

Automation Categorization Big Data Data Platform 100

Marktechpost

AUGUST 25, 2023

OpenAI ensures protecting API data privacy is something they deeply care about, but they are facing numerous lawsuits at the same time. Even if they work really hard to protect the privacy and security of the model usage, these models can be too powerful to be controlled. Check out the Paper and Github link.

LLM 98

LLM ChatGPT Large Language Models Artificial Intelligence 98

IBM Journey to AI blog

JANUARY 5, 2024

From securing everyday personal messages and the authentication of digital signatures to protecting payment information for online shopping and even guarding top-secret government data and communications—cryptography makes digital privacy possible. This ciphertext is then transmitted to a recipient.

Algorithm 244

Algorithm Computer Scientist 244

IBM Journey to AI blog

JULY 26, 2023

Widespread adoption and use of AI in HR applications raises many concerns about ethical implications and employee protections related to data and privacy. They must challenge the rest of the enterprise on the ethical implications of AI and data privacy. HR leaders set the tone.

Auto-complete 173

Auto-complete Generative AI AI Strategy Responsible AI 173

Marktechpost

JULY 17, 2023

Using personal images poses substantial privacy concerns, even though it has a huge potential to improve security and public safety. Since individual images count as private information under data privacy laws and regulations, these problems require privacy-preserving solutions.

Computer Vision 52

Computer Vision AI Tools AI Researcher AI Research 52