All of a sudden everybody is talking about ChatGTP as an application of Artificial Intelligence (AI) and about AI. Governments and all sorts of businesses are delighted but also concerned about the effects of AI.
Besides ChatGTP we have applications such as ChatGTP Writer, DeepL Translater, Midjourney, Durable, Rytr, Jasper, Copy.ai, Synthesia and Looka.
Deep fake campaigns can be written. The Pope e.g., was wearing a fashionable jacket and President Trump was resisting in an AI-generated arrest. Fake can look very real.
What are the threats of AI, what are the benefits? What is the state of the art of AI? What is the situation in your country? What are scientists doing in your country about AI?
The present and future of artificial intelligence (AI) is likely to be characterized by continued growth and innovation in a wide range of fields and applications. Some possible trends and developments that we may see in the coming days, weeks, months and years are:
1. Increased automation: AI is likely to play an increasingly important role in automating routine and repetitive tasks, freeing up humans to focus on more creative and complex work.
2. Improved decision-making: AI has the potential to improve decision-making in many areas, including healthcare, finance, and manufacturing. As AI algorithms become more sophisticated and accurate, they may be able to identify patterns and insights that humans may miss.
3. Greater personalization: AI may enable more personalized products and services, such as personalized medicine and personalized education. By analyzing large amounts of data, AI algorithms can identify individual preferences and needs and tailor recommendations accordingly.
4. Enhanced safety and security: AI has the potential to enhance safety and security in many areas, such as transportation, cybersecurity, and public safety. For example, AI algorithms can detect and respond to security threats more quickly and accurately than humans can.
5. Ethical and social implications: As AI becomes more powerful and ubiquitous, there will be important ethical and social implications to consider. For example, how can we ensure that AI is used in ways that are fair, transparent, and beneficial to society as a whole?
Overall, the future of AI is likely to be shaped by ongoing advances in technology, as well as by social, political, and ethical considerations. As AI continues to evolve and mature, it has the potential to transform many aspects of our lives and society in profound ways.
Credit: mainly AI tool
Mohammad Imam Dear Imam, thank you for your answer. What kind of AI tool do you use yourself?
www.simplilearn.com/future-of-artificial-intelligence-article#:~:text=The%20productivity%20of%20artificial%20intelligence,those%20requiring%20creativity%20and%20empathy.
Shafagat Mahmudova Dear Shafagat, thank you for the article about the future of AI. But what is your own opinion about AI and what are the developments in AI in your country?
AI will be used as an efficient technical working tool as it expands the capacities of our biological memory extremely; all other consequences depend on the wise use of things, in terms of ethical behavior, i.e. with respect to human nature, we will witness a lot of misuse and forensic activity.
The future of Artificial Intelligence (AI) holds immense potential and promises to revolutionize various aspects of human life. As AI continues to advance, we can expect to see increasingly sophisticated applications across industries, including healthcare, finance, transportation, and more. The integration of AI into everyday devices and systems will likely streamline processes and enhance overall efficiency.
Additionally, the quest for Artificial General Intelligence (AGI) remains a driving force, as researchers strive to create AI systems capable of reasoning, learning, and understanding the world at a level comparable to human intelligence. However, achieving AGI presents significant challenges, both technically and ethically.
Furthermore, AI will likely play a pivotal role in addressing global challenges, such as climate change, resource management, and public health. Its ability to analyze vast amounts of data and identify patterns could lead to groundbreaking insights and solutions.
Nevertheless, the future of AI also raises ethical concerns regarding data privacy, bias, job displacement, and the potential misuse of AI technologies. Ensuring that AI is developed and deployed responsibly, with a focus on transparency and inclusivity, will be essential in shaping a positive and equitable AI future.
Recommended book on Amazon : https://www.amazon.com/dp/B0CCJZR5GX
future of AI is transparent which modernize the world in more organized manner by saving energy and fuel
We can hope a new state of the economics and politics models. This model will break shallows discussions about capitalism and socialism and will conduces by way to a new model which will join both, however do not means a system perfect and without problems, in special relationed to privacy and liberty.
What is the state of the art of AI in The Netherlands?
Almost all universities in The Netherlands teach AI. Leiden, Delft, and Rotterdam have an AI Hub, see https://www.leiden-delft-erasmus.nl/nl/kennisdossier-artificial-intelligence-in-zuid-holland. There is the Jheronimus Academy of Data Science, a cooperation between the Province of North Brabant, the Municipality of ‘s Hertogenbosch, Tilburg University and Eindhoven University of Technology. The University of Amsterdam, the Radboud University, the University of Groningen, the University of Maastricht, and Twente University has a course Algorithms and Robotics.
However, AI is seen as promising, there are some concerns from the Dutch government. The European Union is working on an AI act to regulate the use of AI.
Different companies use AI, and the general public has had its introduction to AI with ChatGTP.
What’s going on in your country?
Artificial Intelligence (AI) has the potential to transform many fields and industries. Here are some examples of fields where AI is already being used or is expected to be used in the future:
1. Healthcare: AI can be used to analyze medical images, assist in medical diagnoses, and develop personalized treatment plans.
2. Finance: AI can be used to detect fraud, optimize investment portfolios, and develop predictive models for financial markets.
3. Manufacturing: AI can be used to optimize production processes, predict equipment failure, and improve quality control.
4. Retail: AI can be used to personalize shopping experiences, optimize inventory management, and develop targeted marketing campaigns.
5. Transportation: AI can be used to optimize logistics, improve traffic flow, and develop autonomous vehicles.
6. Education: AI can be used to personalize learning experiences, develop intelligent tutoring systems, and optimize educational content delivery.
7. Agriculture: AI can be used to optimize crop yields, develop predictive models for weather patterns, and improve pest management.
8. Energy: AI can be used to optimize energy consumption, develop predictive maintenance models for equipment, and improve renewable energy production.
The most impactful fields for AI are likely to be healthcare and finance. In healthcare, AI has the potential to revolutionize medical diagnosis and treatment, leading to better patient outcomes and reduced healthcare costs. For example, AI can be used to analyze medical images to detect early-stage cancers, which can lead to earlier treatment and improved survival rates. In finance, AI has the potential to improve investment decisions and reduce fraud, leading to more efficient financial markets and increased trust in financial institutions. Additionally, AI can be used to develop predictive models for economic trends, which can improve investment strategies and reduce risk.
Credit Usage of AI
AI, including models like ChatGPT, has indeed gained significant attention in recent years due to its potential and implications. Let's explore some of the threats and benefits of AI, the state of AI, and the activities of scientists in various countries.
Threats of AI:
Benefits of AI:
State of AI:The state of AI is continually evolving. AI research and development are growing in academia and industry. OpenAI's GPT-3, for example, represents a significant advancement in natural language processing.
AI Around the World:Different countries have varying levels of AI adoption and research activities:
- United States: The U.S. leads in AI research, with numerous tech giants investing heavily. Research institutions like Stanford and MIT are prominent in AI.
- China: China is also a major player in AI, with strong government support and tech companies like Baidu and Alibaba making significant advancements.
- European Union: The EU has initiatives like the European AI Alliance and is focused on ethical AI development.
- Canada: Canada, particularly Montreal and Toronto, is known for AI research, with institutions like the Vector Institute and Mila.
Scientists' Work:Scientists worldwide are actively researching AI's various aspects, including ethics, fairness, explainability, and robustness. They're developing AI for applications like healthcare, climate modeling, and autonomous systems.
Researchers are also exploring AI's role in addressing global challenges, such as climate change and healthcare crises.
AI's future will depend on responsible development, ethical considerations, and international collaboration to harness its benefits while mitigating its risks. Public discourse and policymaking are crucial to shaping AI's impact on society.
DeepMind AI accurately forecasts weather — on a desktop computer
The machine-learning model takes less than a minute to predict future weather worldwide more precisely than other approaches...
https://www.nature.com/articles/d41586-023-03552-y
An AI app for better forecasting?
https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/
Article Precision Medicine, AI, and the Future of Personalized Health Care
There are different discussion rooms that you may visit. Of course, this research questions are related. I have posted many answers there.
https://www.researchgate.net/post/What_is_the_future_of_Artificial_Intelligence
https://www.researchgate.net/post/The-future-of-Artificial-Intelligence
...
Here are some trends of AI applications in different domains:
Machine Learning, Artificial Intelligence - And The Future Of Accounting!
The Future of Artificial Intelligence in Banking!
The Future of Artificial Intelligence in the Retail Industry!
The Future of Productivity: AI and Machine Learning!
https://www.forbes.com/sites/bernardmarr/2017/07/07/machine-learning-artificial-intelligence-and-the-future-of-accounting/#2d4ef7a2dd12
http://www.prnewswire.com/news-releases/the-future-of-artificial-intelligence-in-banking-300487276.html
http://independentretailer.com/2017/07/13/the-future-of-artificial-intelligence-in-the-retail-industry/
https://www.entrepreneur.com/article/295264
As we are closing this year, besides ChatGTP of Open AI, Google has launched Gemini as a competitor and says it's more powerful than ChatGTP. Is that correct or is that just a claim? What is the postion of governments to Gemini if even to ChatGTP they are struggling to come up with regulations? And what they must they consider to come up with sound regulations for AI in general?
The impact of ChatGTP
Can it make writers really redundant? Do writers really have to be afraid of Large Language Models such as GTP and Gemini? And do scientists have to be afraid?
https://www.theguardian.com/books/2023/nov/11/chatgpt-needs-to-be-tamed-bernardine-evaristo-jeanette-winterson-put-ai-to-the-test?ref=refind
More on GEMINI!
Gemini is built from the ground up for multimodality — reasoning seamlessly across text, images, video, audio, and code...
"Today, we’re a step closer to this vision as we introduce Gemini, the most capable and general model we’ve ever built.
Gemini is the result of large-scale collaborative efforts by teams across Google, including our colleagues at Google Research. It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across and combine different types of information including text, code, audio, image and video..."
https://deepmind.google/technologies/gemini/#introduction
https://blog.google/technology/ai/google-gemini-ai/?utm_source=gdm&utm_medium=referral#introducing-gemini
Gemini beat GPT-4 in 30 of 32 benchmarks tests — including reading comprehension, scientific knowledge, problem solving and code writing. Yet without insight into Gemini’s training data, it’s difficult to interpret these findings, says computer scientist Percy Liang. “It’s not obvious to me that Gemini is actually substantially more capable than GPT-4,” says AI researcher Melanie Mitchell...
https://www.technologyreview.com/2023/12/06/1084471/google-deepminds-new-gemini-model-looks-amazing-but-could-signal-peak-ai-hype/
“It’s not obvious to me that Gemini is actually substantially more capable than GPT-4,” says AI researcher Melanie Mitchell. A viral promotional video that shows the AI responding in real time to video and audio prompts seems to partially misrepresent what the system can do...
https://arstechnica.com/information-technology/2023/12/google-admits-it-fudged-a-gemini-ai-demo-video-which-critics-say-misled-viewers/
"The integration of AI in hypothesis formation is an ongoing journey with vast potential. The collaborative efforts of humans and machines hold the promise of accelerating scientific discovery, unlocking new insights, and addressing complex challenges facing humanity. However, this journey requires a balanced approach, acknowledging the strengths of AI while respecting the unique capabilities and ethical considerations that humans bring to the table..."
https://www.enago.com/academy/ai-generated-research-hypothesis/
"Experts warned this year of the need to regulate the rapidly advancing technology. Geoffrey Hinton, a machine learning pioneer widely called the “Godfather of A.I.,” quit his part-time job with Google in May so that he could speak more freely about his unease regarding A.I.’s future. Experts have raised concerns that A.I. could spread misinformation, manipulate humans and alter the job market if it isn’t controlled. But innovation continues, and it seems likely that researchers will increasingly use A.I. to attempt breakthroughs in many fields. —Carlyn Kranking ..."
https://www.smithsonianmag.com/smart-news/the-godfather-of-ai-now-warns-of-its-dangers-180982108/
https://www.smithsonianmag.com/smart-news/white-house-urges-ai-leaders-to-consider-the-technologys-risks-180982133/
https://www.smithsonianmag.com/science-nature/the-ten-most-significant-science-stories-of-2023-180983484/
Opportunities and threats of AI according questions of the EU
https://www.europarl.europa.eu/news/en/headlines/society/20200918STO87404/artificial-intelligence-threats-and-opportunities
There are concerns and benefits, but which will outweigh the other?
These scientists aren’t using ChatGPT — here’s why
Some researchers find AI chatbots helpful for writing, coding and gathering information. Others are choosing to avoid the craze...
https://www.nature.com/articles/d41586-023-04071-6
"The rise of ChatGPT had a profound effect on science this year. Its creator, OpenAI in San Francisco, California, is expected to release GPT-5, the next generation of the artificial intelligence (AI) model that underpins the chatbot, late next year. GPT-5 is likely to showcase more advanced capabilities than those of its predecessor, GPT-4. Scientists are also watching the rollout of Gemini, Google’s GPT-4 competitor. The large language model can process several types of input, including text, computer code, images, audio and video..."
https://www.nature.com/articles/d41586-023-03930-6
https://www.nature.com/articles/d41586-023-04044-9
"A new version of Google DeepMind’s AI tool AlphaFold, which researchers have used to predict the 3D shapes of proteins with high accuracy, is also due to be released next year. The AI will be capable of modelling interactions between proteins, nucleic acids and other molecules with atomic precision, which could open up new possibilities in drug design and discovery."
https://www.nature.com/articles/d41586-020-03348-4
https://www.nature.com/articles/d41586-023-04044-9
https://www.nature.com/articles/d41586-023-02984-w
This year could see the decline of the term ‘large language model’ as systems increasingly deal in images, audio, video, molecular structures or mathematics. There might even be entirely new types of AI that go beyond the transformer architecture used by almost all generative models so far. At the same time, proprietary AI models will probably continue to outperform open-source approaches. And generating synthetic content has become so easy that some experts are expecting more misinformation, deepfakes and other malicious material. “What I most hope for 2024 — though it seems slow in coming — is stronger AI regulation,” says computer scientist Kentaro Toyama...
https://www.forbes.com/sites/robtoews/2023/12/21/10-ai-predictions-for-2024/?sh=1872c24b4898
https://theconversation.com/ai-is-here-and-everywhere-3-ai-researchers-look-to-the-challenges-ahead-in-2024-218218
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