- [D] What are issues in AI/ML that no one seems to talk about?🔍
- 11 Artificial Intelligence Issues You Should Worry About in 2023🔍
- What are some of the most interesting and difficult areas of AI ...🔍
- The current state of AI/ML is frustrating and confusing🔍
- Why does no one care about AI?🔍
- Is Apple along with the rest of the industry approaching ML the ...🔍
- AI is transforming the world but is facing serious problems🔍
- 1. Worries about developments in AI🔍
[D] What are issues in AI/ML that no one seems to talk about?
[D] What are issues in AI/ML that no one seems to talk about? - Reddit
You basically need data classes to handle dynamic type of data, a mutable database table violates so many rules of ACID design. Just because you ...
11 Artificial Intelligence Issues You Should Worry About in 2023
The developments in machine learning (ML), expert systems, and other AI technologies will have an immense influence on how we live, rest, and interact with ...
What are some of the most interesting and difficult areas of AI ...
AI research faces several significant challenges across technical, ethical, and societal dimensions. · 1. · - Challenge: AI models, particularly ...
The current state of AI/ML is frustrating and confusing
AI is doing your customer service, recommending recipes, drafting your will, and improving your short game. It will continue to do more. This ...
Why does no one care about AI? - Effective Altruism Forum
Yet, outside of EA basically no one is worried about AI. If you talk to strangers about other potential existential risks like pandemics, ...
Is Apple along with the rest of the industry approaching ML the ...
big failure of AI that no one seems to talk about and the reason you can't use AI to determine human actions in serious situations. There is ...
AI is transforming the world but is facing serious problems - LinkedIn
The recognition we have today with AI and ML is immature because we have to use millions of data to train the simplest models and if we put in ...
1. Worries about developments in AI | Pew Research Center
Most companies will try to design the technology to make good decisions, but many of those decisions are hard moral choices with no great answer ...
What are the dark sides of a career in AI/machine learning? - Quora
Missing/low quality data. Outside of academia, where you have curated data like ImageNet, you usually do not have any data, or data have very ...
Why Machine Learning is not Artificial Intelligence? - AlfonsoRReyes
For instance, ML by itself cannot be intelligent because lacks reasoning, planning, logic, and doesn't interact with the environment. ML detects ...
7 Challenges of AI That Will Affect You, Me, Everyone! - YouTube
The rapid improvement of machine learning systems means that as a race, as a society in general, we face several big challenges. Not just ...
Why you will struggle with Machine Learning | by Devansh - Medium
In my free time, I watch a lot of Math/AI videos. Not only do these videos introduce me to new concepts/implementations, but they also help ...
What are the advantages and disadvantages of artificial intelligence?
The lack of creativity means AI can't create new solutions to problems or excel in any overly artistic field. One scientific paper posited that at the present ...
Artificial Intelligence and Privacy – Issues and Challenges
AI technology is not confined to one state or jurisdiction, making it difficult to create and maintain good privacy practices and governance across borders.
Ethical concerns mount as AI takes bigger decision-making role
Not everyone sees blue skies on the horizon, however. Many worry whether the coming age of AI will bring new, faster, and frictionless ways to ...
Artificial Intelligence: Emerging Themes, Issues, and Narratives
... one or more AI/ML classes of algorithms. (e.g., Bayesian, decision trees ... No single metric or test will tell the whole story; recommend using several ...
Top 9 ethical issues in artificial intelligence | World Economic Forum
In this challenge, human raters used text input to chat with an unknown entity, then guessed whether they had been chatting with a human or a ...
Legal and human rights issues of AI: Gaps, challenges and ...
Such issues include: algorithmic transparency, cybersecurity vulnerabilities, unfairness, bias and discrimination, lack of contestability, legal personhood ...
Why I'm not especially interested in machine learning - Daniel's blog
Daniel K Lyons · 1. It's not going to put me out of a job · 2. Machine learning is not creative · 3. More random failure is not a feature · 4. ML is ...
The AI Hype Cycle Is Distracting Companies
It overly inflates expectations and distracts from the precise way ML will improve business operations. Most practical use cases of ML — ...