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Hi there! Im TaxGPT, a friendly AI tax adviser.

Well, thanks anyway, but I had a human file my tax return for me this year.

But of course, we know the world is changing as Artificial Intelligence or AI dominates the planet.

AI is now a hot topic as almost 77 per cent of devices today use AI technology. There are more AI assistants today, a figure which will eventually surpass the number of people on this Earth.

According to carbon60global.com the AI market is expected to reach $407 billion by 2027. By 2057, robots could replace or displace 2.7 million jobs in construction and engineering alone.

How many times have you said, Hey Google, where is the nearest Italian restaurant?

Hey Siri, what is the population of Nunavut?

Alexa, play me my favourite Lionel Richie songs from the 80s.

AI is software meant to mimic a human mind and model human intelligence.

According to Reference.com, the general benefit of AI is that it replicates decisions and actions of humans without human shortcomings such as fatigue, emotion and limited time.

I am thinking of adding a shortcoming such as stupidity to the list, which would mean we could replace the average politician with artificial intelligence.

Machines driven by AI technology are being used to replace humans as they are able to perform consistent repetitious actions without getting tired.

They dont need work breaks or work-life balance or time off due to sickness. They are available 24/7 and reduce the need for human personnel.

Theres a reduction in human error.

Those are some of the advantages.

However, currently, the disadvantages are that machines are neither flexible nor creative, as robots cant think outside the box. It stifles critical thinking as AI cant be improved with experience like we can. Costs are high and it leads to unemployment and the risk of making humans lazy.

Is Artificial Intelligence improving the lives of seniors today?

Absolutely.

During the pandemic, research studies were done in Sweden and the U.K. where a chatbot, an interactive computer program using AI voice technology, was used to interact with isolated seniors.

The researchers used a chatbot called ChatGPT (Generative Pre-Trained Transformer) as a cure for loneliness. It replicated human conversation, covering a wide array of topics. It can create human-like responses when prompted.

As visitors werent allowed to visit their elderly loved ones during the lockdown, ChatGPT could also help the isolated seniors answer questions, problem-solve as well as compose letters to their family.

Thats a good thing, but on the downside, chatbots could easily replace human interactions with all of their emotional baggage and drama.

At Drexel University in Pennsylvania, (drexel.edu) researchers say that using similar voice technology helps with early detection of dementia and Alzheimers disease. The chatbox program used was 80 per cent accurate in predicting early signs of dementia because language impairment affects between 60 and 80 per cent of dementia patients. The program can detect subtle clues such as grammar and pronunciation mistakes, hesitation and forgetting the meaning of words.

As the AI creators strive to produce a machine with a humans intellectual capacities, its billionaire executives such as Sam Altman fear that superhuman machine intelligence is probably the greatest threat to the continuous existence of humanity. Even Elon Musk is asking for a six-month moratorium on the development of advanced AI systems, including the latest version of ChatGPT.

But fellas, before you take a hiatus, could you develop me an interactive chatbot, who well call George, to be at my beck and call?

Hey George, rub my tired feet. While youre at it, peel me a grape!

April Lewis writes monthly on seniors issues for Peace Arch News.

AI technologyColumnSeniors

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SAVVY SENIORS: Artificial Intelligence will be a genuine game ... - Peace Arch News

Retailers and brands are tapping new tools to build better connections with their customers and make their lives easier

Theres good old-fashioned customer service and then theres artificial intelligence chatbots that can answer customers questions, create their grocery lists, make their travel plans, and let them see how theyll look in a new outfit.

As humans appetite for AI-based tools grows, retailers and brands are using language-based tools like ChatGPT, created by OpenAI, to build better customer connections and enhance their shopping experiences.

This month, Expedia launched a new travel-planning tool integrating ChatGPT. It gives members the ability to build their perfect itinerary including where to stay, what to do and how to get around just by starting a conversation in the app. In Europe, French grocery giant Carrefour has been testing videos on its website created with ChatGPT and generative AI (the umbrella term for AI that can produce content on demand) that use human-like avatars to answer customers questions about purchasing healthier foods for less. Consumer packaged goods brands like Hellmanns are getting in on the chatbot action, too.

Todays AI technology is revolutionizing the relationship between brands and their consumers, says Kristen Denega, Canada Hellmanns market lead & North American innovations at Unilever.

During the holidays in 2022, Denega saw an opportunity to marry AI and the Hellmanns brand to help Canadians save on groceries. In exchange for inputting their fridge and pantry ingredients (including Hellmanns mayonnaise) into ChatGPT, consumers received a tasty recipe they may not have considered otherwise.

We collaborated with TikTok creators to show how they transformed their holiday leftovers into a delicious meal using ChatGPT and Hellmanns mayo, says Denega. This allowed us to connect with everyday Canadians and inspire them to save and repurpose their leftovers during one of the most wasteful times of the year.

She says Hellmanns is always looking for creative ways to communicate with consumers about food waste and how to think differently about the value of foods in their fridge. ChatGPT provided us with a culturally relevant opportunity to do just that by tapping into a moment in time when everyone was experimenting with this platform, she says.

With the evolution of AI capabilities over the last decade, analysts say were finally at a point where AI applications like ChatGPT have the potential to significantly improve retailer-shopper connections. Research shows that shoppers are becoming more receptive to this technology, too. According to a 2023 U.S. survey commissioned by software provider Redpoint Global, almost half of respondents (48 per cent) said they would interact with AI more frequently if it would make their customer experience with a brand more seamless, consistent and convenient.

Generative AI is giving us opportunities for interaction from a virtual perspective that brings in much more of an emotional connection with customers, says Krish Banerjee, Canada managing director (partner), data, analytics & applied intelligence at Accenture.

Rather than just focusing on transactions, he says retailers can start to better understand customers behaviours to personalize marketing efforts and provide useful recommendations. Understanding the language of their interactions and understanding their expectations is all part of what generative AI is providing us with which wasnt here before, he says.

In addition to powering intuitive customer service bots, Banerjee says retailers are experimenting with virtual try-ons that allow customers to see how products would look on them before they buy. We can also expect to see future AI applications around collaborative product design where retailers work with their customers from initial concept to finished item.

Going forward, Banerjee says a key part in evolving and improving AI applications will rely on giving consumers better control of the data theyre willing to share with retailers, which will allow for a more tailored use of their information. Now its based on what websites Im browsing and cookies that go away in a couple of years and the information Ive provided in social media, he says.

Accentures recently released Technology Vision 2023 report points to transparency becoming a companys most precious resource as we start a new era of business. The report notes 87 per cent of Canadian executives say data transparency is becoming a competitive differentiator for their organizations.

Marrying all that customer information now collected from various sources will be challenging for retailers, says Stewart Samuel, director of retail futures at IGD, a research organization focused on the grocery sector. Its not just a matter of turning on ChatGPT and expecting good results, he says. Theres a lot of work to be done ahead of that, including figuring out how to protect customer data and [adhere] to regulatory frameworks.

That said, Samuel believes retailers have much to gain from being early adopters of AI technologies that can enhance shopping experiences, especially because these tools can be refined and improved once implemented.

AI is an area where you can create an advantage early on and then continue to grow that advantage, he says. The sooner you get into it, the sooner you can make incremental improvements to your business, and these tools can learn and adapt from that.

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AI goes shopping: How artificial intelligence will reshape the ... - Pique Newsmagazine

DUBLIN, April 18, 2023 /PRNewswire/ -- The "Artificial Intelligence in Healthcare Market - Growth, Trends, COVID-19 Impact, and Forecasts (2023-2028)" report has been added to ResearchAndMarkets.com's offering.

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The artificial intelligence in the healthcare market is expected to register a CAGR of 42.2% during the forecast period.

Companies Mentioned

Key Market Trends

Medical Imaging & Diagnostics To Hold Significant Share in the Market

In diagnostics, AI enables healthcare providers to make the most appropriate treatment decisions for their patients. AI can be used to identify cancer, triage crucial discoveries in medical imaging, flag acute abnormalities, assist radiologists in prioritizing life-threatening patients, diagnose cardiac arrhythmias, forecast stroke outcomes, and assist with chronic disease management.

The rise in the prevalence of chronic diseases, along with product launches by market players, drives the segment. For instance, the Cancer Facts and Figures 2022, published in January 2022 by the American Cancer Society, predicted approximately 1.9 million new cancer cases in 2022, estimating 186,670 prostate cancer cases, followed by 169,870 cases of lung cancer and 144,490 cases of female breast cancer.

The increased prevalence of cancer and the high burden of other chronic diseases are, in turn, increasing the demand for accurate diagnosis and treatment. This is likely to increase the adoption of AI for early diagnosis purposes, ultimately boosting the market growth.

Incorporating AI into imaging devices may improve diagnosis, which is expected to aid market growth during the forecast period. For instance, in December 2021, Roche introduced three artificial intelligence (AI) based, deep learning image analysis Research Use Only (RUO) algorithms developed for breast cancer.

Story continues

Additionally, in April 2022, Arterys, the vendor-neutral AI platform, launched several new modules to its robust Cardio AI clinical application and an additional (eighth) Food and Drug Administration (FDA) AI clearance based on deep learning.

Additionally, various strategies adopted by the market players are expected to propel the segment's growth. For instance, in November 2021, LifeVoxel, based in San Diego, raised USD 5 million in a seed round to improve the data intelligence of its AI diagnostic visualization platform for faster and more accurate prognosis. Healthcare facilities employ the Software-as-a-Service (SaaS) platform for remote diagnostics in various medical specialties, including radiology, cardiology, and orthopedics.

Thus, all the aforementioned factors, such as the growing prevalence of chronic diseases and key strategies adopted by market players, are expected to boost the segment's growth over the forecast period.

North America Expected to Hold a Significant Market Share

The use of artificial intelligence in the North American healthcare market is being driven by the increasing use of advanced technology in healthcare systems, the growth in funding of AI-based startups, the rising burden of chronic diseases in the country, the growing need to reduce healthcare costs, and the implementation of big data in healthcare.

The increased adoption of big data in healthcare in the region is expected to propel the market's growth. For instance, in August 2022, the Children's Hospital of Philadelphia (CHOP) and the University of Pennsylvania School of Medicine (Penn Medicine) launched the big data-driven Penn-CHOP Kidney Innovation Center, which will support research to improve patient care for adults and children with kidney disease.

Moreover, the Association of American Medical Colleges reported in August 2022 that the United States spends USD 4 trillion per year on health care. Thus, the region is facing the need to minimize healthcare costs, which can be accomplished by applying AI in healthcare, thereby enhancing market growth.

Furthermore, introducing technologically advanced products into the market is expected to propel the market's growth. For instance, in December 2021, Crawford & Company introduced Crawford Intelligent Fraud Detection.

It combined human expertise and forensic analysis, joining DXC Luxoft's Financial Crimes Intelligence platform with IBM, improvising how it recognizes and manages fraudulent claims for its clients. Additionally, in June 2022, My Intelligent Machines (MIMs) launched software with artificial intelligence that has the potential to transform the way organizations prepare for oncology clinical trials or drug development.

Strategic activities of the market players are also expected to support the market's expansion. For instance, in June 2022, Insilico Medicine opened a fully automated, artificial intelligence-driven robotics lab for drug research.

Thus, all the factors mentioned above, such as the growing demand for big data in healthcare and technologically advanced product launches, are expected to boost the market over the forecast period.

Key Topics Covered:

1 INTRODUCTION

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS4.1 Market Overview4.2 Market Drivers4.2.1 Growing Need to Reduce Increasing Healthcare Costs4.2.2 Big Data in Healthcare4.2.3 Ability of AI to Improve Patient Outcomes and Growing Importance of AI-assisted Robot Surgery4.3 Market Restraints4.3.1 Reluctance Among Traditional Practitioners to Adopt AI-based Technologies4.4 Industry Attractiveness - Porter's Five Forces Analysis

5 MARKET SEGMENTATION (Market Size by Value - USD million)5.1 By Technology5.1.1 Natural Language Processing (NLP)5.1.2 Deep Learning5.1.3 Context Aware Processing5.1.4 Querying Method5.1.5 Other Technology Types5.2 By Application5.2.1 Robot-assisted Surgery5.2.2 Virtual Nursing Assistants5.2.3 Fraud Detection5.2.4 Drug Discovery and Research5.2.5 Dosage Error Reduction5.2.6 Medical Imaging and Diagnostics5.2.7 Wearables5.2.8 Other Application Types5.3 By Offering5.3.1 Hardware5.3.2 Software5.3.3 Services5.4 By End-user5.4.1 Healthcare Payers5.4.2 Healthcare Providers5.4.3 Pharmaceutical and Biotechnology Companies5.4.4 Patients5.4.5 Other End-user Types5.5 By Geography

6 COMPETITIVE LANDSCAPE6.1 Company Profiles

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

For more information about this report visit https://www.researchandmarkets.com/r/z2i953

About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Global Artificial Intelligence in Healthcare Market Report 2023: Ability of AI to Improve Patient Outcomes and Growing Importance of AI-assisted Robot...

17 April 2023

Image source, Natalie Lisbona

Dr Talia Cohen Solal, left, is using AI to help her and her team find the best antidepressants for patients

Dr Talia Cohen Solal sits down at a microscope to look closely at human brain cells grown in a petri dish.

"The brain is very subtle, complex and beautiful," she says.

A neuroscientist, Dr Cohen Solal is the co-founder and chief executive of Israeli health-tech firm Genetika+.

Established in 2018, the company says its technology can best match antidepressants to patients, to avoid unwanted side effects, and make sure that the prescribed drug works as well as possible.

"We can characterise the right medication for each patient the first time," adds Dr Cohen Solal.

Genetika+ does this by combining the latest in stem cell technology - the growing of specific human cells - with artificial intelligence (AI) software.

From a patient's blood sample its technicians can generate brain cells. These are then exposed to several antidepressants, and recorded for cellular changes called "biomarkers".

This information, taken with a patient's medical history and genetic data, is then processed by an AI system to determine the best drug for a doctor to prescribe and the dosage.

Although the technology is currently still in the development stage, Tel Aviv-based Genetika+ intends to launch commercially next year.

Image source, Getty Images

The global pharmaceutical sector had revenues of $1.4 trillion in 2021

An example of how AI is increasingly being used in the pharmaceutical sector, the company has secured funding from the European Union's European Research Council and European Innovation Council. Genetika+ is also working with pharmaceutical firms to develop new precision drugs.

"We are in the right time to be able to marry the latest computer technology and biological technology advances," says Dr Cohen Solal.

A senior lecturer of biomedical AI and data science at King's College London, she says that AI has so far helped with everything "from identifying a potential target gene for treating a certain disease, and discovering a new drug, to improving patient treatment by predicting the best treatment strategy, discovering biomarkers for personalised patient treatment, or even prevention of the disease through early detection of signs for its occurrence".

New Tech Economy is a series exploring how technological innovation is set to shape the new emerging economic landscape.

Yet fellow AI expert Calum Chace says that the take-up of AI across the pharmaceutical sector remains "a slow process".

"Pharma companies are huge, and any significant change in the way they do research and development will affect many people in different divisions," says Mr Chace, who is the author of a number of books about AI.

"Getting all these people to agree to a dramatically new way of doing things is hard, partly because senior people got to where they are by doing things the old way.

"They are familiar with that, and they trust it. And they may fear becoming less valuable to the firm if what they know how to do suddenly becomes less valued."

However, Dr Sailem emphasises that the pharmaceutical sector shouldn't be tempted to race ahead with AI, and should employ strict measures before relying on its predictions.

"An AI model can learn the right answer for the wrong reasons, and it is the researchers' and developers' responsibility to ensure that various measures are employed to avoid biases, especially when trained on patients' data," she says.

Hong Kong-based Insilico Medicine is using AI to accelerate drug discovery.

"Our AI platform is capable of identifying existing drugs that can be re-purposed, designing new drugs for known disease targets, or finding brand new targets and designing brand new molecules," says co-founder and chief executive Alex Zhavoronkov.

Image source, Insilico Medicine

Alex Zhavoronkov says that using AI is helping his firm to develop new drugs more quickly than would otherwise be the case

Its most developed drug, a treatment for a lung condition called idiopathic pulmonary fibrosis, is now being clinically trialled.

Mr Zhavoronkov says it typically takes four years for a new drug to get to that stage, but that thanks to AI, Insilico Medicine achieved it "in under 18 months, for a fraction of the cost".

He adds that the firm has another 31 drugs in various stages of development.

Back in Israel, Dr Cohen Solal says AI can help "solve the mystery" of which drugs work.

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How artificial intelligence is matching drugs to patients - BBC

Impact assessments can help identify both positive and negative impacts at an early stage of development. It is very likely that this will become an integral part of structures designed to address ethical and social issues. The first ever systematic review of AI impact assessment was just published in Artificial Intelligence Review, providing the basis for the next step for actors who want to ensure that impact assessments are fit-for-purpose. The authors also develop a generic model that can help guide their decision.

The AI landscape is a moving target, which means that impact assessment models and practices are evolving as rapidly as the technology. In the paper, the authors develop a generic model of an AI impact assessment that can be used to choose, deploy or evaluate specific impact assessments.

In the article, we show how AI impact assessment can be integrated into broader AI ecosystems to support responsible AI, says Bernd Carsten Stahl, Ethics Director in the Human Brain Project, Professor of Critical Research in Technology at the University of Nottingham. Together with a large group of researchers, he has looked at 181 documents. They went on to identify 38 actual AI impact assessments, that went through a rigorous qualitative analysis, looking at the purpose, scope, organisational context, expected issues, timeframe, process and methods, transparency and challenges of each approach.

According to Bernd Carsten Stahl, their work provides a sound basis for the next step in developing impact assessments for AI. According to him, what is still lacking is a more comprehensive overview of the role these impact assessments can playin the larger AI ecosystem. The authors have shown that other types of impact assessments are reiving a lot of attention. They issue a call for coordination and possibly also integrating AI impact assessments in other organisational processes, perhaps as part of other risk management practices.

Want to read the paper? Stahl, B.C., Antoniou, J., Bhalla, N. et al. A systematic review of artificial intelligence impact assessments. Artif Intell Rev (2023). https://doi.org/10.1007/s10462-023-10420-8

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First systematic review of Artificial Intelligence impact assessments - Human Brain Project