| general ai | 2 |
| narrow ai | 2 |
| weak ai | 2 |
| human level ai | 1 |
| modern ai | 1 |
| real ai | 1 |
| strong ai | 1 |
| symbolic ai | 1 |
| early stages of develop… | 0.48 |
| development | 0.40 |
| replace human | 0.70 |
| use datum | 0.70 |
| perform task | 0.62 |
| learn | 0.61 |
| use machine learning | 0.61 |
| do the work | 0.61 |
| use deep learning | 0.60 |
| come into play | 0.60 |
| take action | 0.60 |
| become more prevalent | 0.60 |
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| disruption | 0.36 |
| unemployment | 0.25 |
| limitation | 0.57 |
| impact | 0.47 |
| the power | 0.46 |
| significant impact | 0.44 |
| goal | 0.42 |
| the capability | 0.42 |
| the biggest impact | 0.42 |
| great potential | 0.41 |
| potential | 0.41 |
| positive impact | 0.41 |
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| a lot of data | 0.48 |
| datum | 0.44 |
| more training | 0.41 |
| time | 0.36 |
| large amounts of data | 0.34 |
| job losses | 0.32 |
| mass unemployment | 0.29 |
| economic boost of us$14… | 0.24 |
| significant job losses | 0.23 |
| broad term | 0.44 |
| term | 0.43 |
| artificial intelligence | 0.36 |
| the simulation of human… | 0.33 |
| our daily lives | 0.41 |
| our lives | 0.37 |
| the solution | 0.27 |
| developed | 0.68 |
| applied | 0.62 |
| employed | 0.60 |
| programmed | 0.60 |
| built | 0.59 |
| designed | 0.58 |
| hyped | 0.57 |
| put | 0.57 |
| used as tool | 0.57 |
| based on datum | 0.57 |
| More » |
| good | 0.38 |
| evil | 0.36 |
| predictive maintenance | 0.35 |
| common good | 0.26 |
| social good | 0.25 |