Advances in AI for Seniors

AI for Seniors is becoming an important tool for seniors to stay active in their homes, promoting independence, healthcare, socialization and mental health, and even helping to reduce healthcare costs. However, AI is not without its limitations. Many of these systems may not be aware of the emotional or contextual nuances that are often expressed in conversations with seniors, causing them to misunderstand the information they receive and provide inadequate responses. In addition, many of these AI systems collect, store, and process large chunks of personal information, creating concerns about data privacy and security that must be addressed in a way that is sensitive to the unique needs and concerns of older adults.

Harnessing AI: Empowering Seniors in the Digital Age

Fortunately, advances in AI for the elderly are helping to solve these challenges. For example, new devices such as the ElliQ from Intuition Robotics are designed to act as a daily companion that not only provides a sense of safety and support, but also actively helps keep senior citizens mentally active through video calls with friends and family, games, news, trivia, and other content. They also help monitor the home for potential issues such as falls or medication adherence, alerting caregivers or emergency responders in a timely manner.

In addition, a growing number of AI-based systems are able to monitor cognitive and behavioral changes for early signs of dementia or depression. They can also detect and report changes in heart rate or blood pressure, and send forewarning messages to caregivers if they detect a decline in the health of a loved one.

What is Fraud Detection?


What is fraud detection?

What is Fraud Detection? is the process of identifying suspicious activity that might be fraudulent, like unauthorized charges on a credit card, identity theft and account takeover. By implementing fraud detection policies, businesses can prevent fraud and avoid the financial losses that occur as a result of these types of activities.

Detecting fraud is important because bad actors are collectively resourceful and constantly changing their tactics to get around security measures. Fraud detection can help businesses and consumers mitigate the risks of fraud by increasing the thresholds for bad actors to make it through – deterring bad behavior before it even happens and empowering ongoing deny capabilities for repeat offenders.

Demystifying Fraud Detection: A Comprehensive Overview

Banks, for example, use fraud detection systems to prevent a range of fraudulent activities such as money laundering, money remittance and terrorist financing. They deploy a variety of security measures including rules-based logic and machine learning, to identify patterns in behavior that might be indicative of fraud. By analyzing historical data, these systems can identify a customer’s typical transaction habits and establish a profile of the type of merchants they usually frequent, the average transaction amount and the time of day when they typically conduct transactions. Any deviations from this profile can trigger an alert that flags the suspicious activity for further investigation.

In addition, banks implement fraud detection measures to adhere to regulatory perimeters and to protect customer data. This is because, if a bank is found to not have adequate fraud prevention measures in place, they are likely to face heavy fines and reputational damage. Fraud detection also helps them manage their risk exposure and stay within compliance with various regulations such as the EU’s PSD2 and The General Data Protection Regulation (GDPR).