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Artificial Intelligence

Quick Study: Artificial Intelligence Ethics and Bias | Information Week

The ethics of artificial intelligence is a developing issue that CIOs must address by considering the human worth of their robots. 

Quick Study contains several InformationWeek articles on AI ethics and prejudice. There are approaches to building and deploying AI ethically, but they need careful consideration of how your business will use AI. What are excellent and poor ethical strategies? AI specialists and companies that have achieved success with AI provide guidance. How can we restore the magic to AI? 

Examine these articles to learn why corporations need an AI ethical approach. According to PwC, CIOs must implement mechanisms to infuse ethics into their AI systems. A board of ethics is one approach to guarantee that these ideals are included in product development, and internal data use. IT teams must collaborate with managers who supervise data scientists, engineers, and analysts to provide intervention points to supplement model ensemble methodologies. 

Source: https://www.informationweek.com/big-data/quick-study-artificial-intelligence-ethics-and-bias  

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Artificial Intelligence

Artificial intelligence tool shows promise for identifying cancer risk from lung nodules | Cosmos Magazine

Doctors may utilize a sophisticated computer program to aid in the early detection of lung cancer. 

According to the World Cancer Research Fund, lung cancer is the second most prevalent kind of cancer globally. It is the leading cause of cancer deaths in Australia, and Cancer Australia projects that lung cancer will account for 17.7 percent of all cancer fatalities in 2021. A crucial aspect of cancer screening is assessing the likelihood that lung nodules may become cancer using CT images. 

Experts say the tool can go beyond fundamental nodule parameters such as size and border features. Vachani states that further study is required before the instrument can be used to evaluate actual patients in the clinic. 

Source: https://cosmosmagazine.com/health/artificial-intelligence-lung-cancer/  

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Artificial Intelligence

Meta wants to improve its AI by studying human brains | POPSCI

How Computer Scientists are investigating the Brain to Aid Deep Learning in Language Understanding 

Together, Neurospin and INRIA analyze human brain activity and deep learning algorithms trained on language or voice tasks. The findings might help explain why humans understand a language far more effectively than robots. Theoretically, it might decipher how both human and artificial brains determine the meaning of language. Meta-AI researchers examine the brain’s reaction to words to see if they can be used to train AI computers. Using methods such as fMRI and magnetoencephalography, they monitor brain activity in response to particular words and phrases down to the millisecond. 

Detailed observation of the brain will enable researchers to determine which brain areas are engaged when hearing words such as “dog” or “table.” A team at Meta AI is constructing a collection of open-source transformer-based language models with millions or perhaps billions of parameters. With 175 billion parameters, the most significant model is comparable in scale to other industrial language models, such as GPT-3. Possessing a comprehensive understanding of a topic may be essential to developing improved AI systems for natural dialogue, which might power future virtual assistants one day. A solid language model is a crucial component for chatbots, conversation agents, machine translation, and text categorization. 

A transformer-based model “uses both a learned mechanism for encoding information sequences and a mechanism for attention,” according to the head of Meta AI Research Labs, Joelle Pineau. Meta AI is open-sourcing its language models to get input from other academics, especially those investigating the behavioral and ethical consequences of these massive AI systems. 

Source: https://www.popsci.com/technology/meta-ai-language-models/  

   

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Artificial Intelligence

Artificial empathy: the upgrade AI needs to speak to consumers | WEF 

Humana Pharmacy, a provider of integrated health services, and Dassault Systems 

In marketing, artificial empathy starts with a consumer-centric approach and manifests itself in insights that reflect the data acquired from a brand’s consumers. It integrates data intelligence, artificial intelligence, and predictive modeling technologies for all important occasions, including website visits, retail visits, social media interactions, and customer support. Through alerts, AI may recognize consumer behavior patterns and inform customers of price cuts or new stock-keeping units for favorite goods. Marketers must use artificial empathy to produce humanized advertisements that are not just mass-targeted. Through emotion analytics, Humana Pharmacy deployed an empathic AI tool to assist its contact center workers to handle consumers more effectively. 

When paired with machine intelligence, the human touch may result in a higher return on investment for tailored advertising. According to Dassault Systems, young customers are willing to pay a premium and disclose their data for personalized goods and services. While managing large quantities of unstructured data might be challenging, this strategy enables marketing teams to respond appropriately. Incorporating or strengthening features and traits that resonate with the target audience is possible. Additionally, it can automatically identify emotions and attitudes as positive, negative, or neutral using machine learning and natural language processing. 

Source: https://www.weforum.org/agenda/2022/04/artificial-empathy-artificial-intelligence/

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Artificial Intelligence

5 applications of Artificial Intelligence that are disrupting the banking sector | IBS 

Artificial Intelligence (AI) was initially envisaged in 1955 as a subfield of Computer Science to develop “intelligent computers” capable of mimicking human cognitive skills such as learning and problem-solving. Due to the COVID-19 epidemic, the application of AI in many organizations has expanded. 

Organizations and governments are spending billions of money to finance AI research and pilot initiatives globally. A Robo-advisor makes an effort to comprehend a customer’s financial health by evaluating the data they give and their economic history. Chatbots can do the majority of frequently performed actions, such as balance inquiries and payment transfers. Additionally, AI may help cybersecurity systems enhance performance by understanding patterns and signs that seem unconnected to forecast and prevent assaults.  Source: https://ibsintelligence.com/ibsi-news/5-applications-of-artificial-intelligence-that-are-disrupting-the-banking-sector/