We got given the task of thinking of 3 insight and 3 ideas per insight (9 ideas in total).
We decided as we did the research we will try and think of insights. It turned out not to be so easy. I got some good insight, but then we had the struggle of thinking ideas for those insights and also if they were proper good insight.
Possible insights;
- understanding what society thinks about AI
- something to do with addiction,
Brian really emphasised on those two, i think there is a lot of potential to create ideas around it, the difficult thing is that he said it to the whole class which means other people might be thinking of around insight for those too
I then decided to think outside of the box and though okay, so we humans have feelings, what is important for us to keep us going such as; love and support and that family feeling and structure we have, from this i decided to look at AI and dating
possible insights from that ;
- the new dating life with AI
- AI changes the dating life/game
- AI - the dating coach
this was a great website to look at and see how this can change in the future
I received a good insight moment almost like a 'light bulb' moment when I read this sentence form this article;
"The key difference between human and machine is the ability to ask questions."
From researching further I then see saw a paragraph which backs up this statement very well from this website
"Brains do not come as isolated entities as do computers. They come with bodies, to which they are intimately connected. The bodies are their interface with the world, through which they learn to move, and, some would argue, there cannot be thinking without embodiment. The most plausible explanation for the evolution of brains is that they are prediction devices. To move effectively to find food, shelter and sex, we navigate using a model of the outside world created within our brains. Think of how confusing it is when you go down a staircase and there is one more or one less step than you unconsciously expected, or of the strange feeling as you reach the top of an escalator and the steps shrink. Perception is in large part expectation. Recent research is starting to reveal just how complicated the brain-body relationship can be — intestinal bacteria, for instance, seem to have a significant association with Parkinson’s disease and autism — well, at least in mice. Human brains also come as part of social groups. We are, after all, utterly social creatures."
and another interesting quote;
" Brains do not come as isolated entities as do computers. "
Insights into sentences;
Most virtual assistants are usually female
AI algorithm shows us what we are most likely to click on is not always
Strong AI will have the ability of teaching and improving itself
Ai makes decisions for us
AI keeps you in a filter bubble without you knowing. - controlling you without you knowing - easy to pop bubbles in real life but filter bubbles are harder.
AI is falsely portrayed in Pop culture.
AI makes daily life easier.
Possible ideas;
- Travel buddy
- You remembered!
- Mental health support
- MyPal
- Burst your bubble
- Alexa becomes a feminist
- We control AI
- The AI medical pad
- AI saves babies
Further research;
What really took my attention is;
" Where will they go? What will they do? Let’s call the question posed by Xavier Mesnard in the World Economic Forum:
“The risk we are facing in the near future is mass unemployment for some categories of workers, combined with lack of skills in other categories – and the political and social implications of such imbalances. Will companies, individual governments and society at large (including educational systems and social safety nets) be able to adapt quickly enough to this new paradigm and create an environment in which all can contribute?” "
Negative AI;
We then though okay, why does it has to be positive AI what if we focused on the negatives that can also strike a conversation. Because of this discussion with Zaki I decided to look into some disadvantages and downsides of AI.
Examples of why AI is bad;
1. Uber self-driving car kills a pedestrian
In the first known autonomous vehicle-related pedestrian death on a public road, an Uber self-driving SUV struck and killed a female pedestrian on March 28 in Tempe, Arizona. The Uber vehicle was in autonomous mode, with a human safety driver at the wheel.
2. IBM Watson comes up short in healthcare
“This product is a piece of shit” wrote a doctor at Florida’s Jupiter Hospital regarding IBM’s flagship AI program Watson,according to internet documents obtained by Stat. Originally a question-answering machine, IBM has been exploring Watson’s AI capabilities across a broad range of applications and processes, including healthcare. In 2013 IBM developed Watson’s first commercial application for cancer treatment recommendation, and the company has secured a number of key partnerships with hospitals and research centers over the past five years. But Watson AI Health has not impressed doctors. Some complained it gave wrong recommendations on cancer treatments that could cause severe and even fatal consequences.
3. LG robot Cloi gets stagefright at its unveiling
January 8 was supposed to be the day when LG’s IoT AI assistant Cloi made its stunning debut at CES 2018 in Las Vegas. Cloi was presented as a simple and pleasant interface able to recognize voice commands to control home appliances. However when the cute robot took to the stage for its live demo, with the audience watching and waiting, and waiting… it failed to respond to commands from LG’s marketing chief, producing only awkward silence.
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