ECA Industry Forum 2024 Navigating AI’s Opportunities and Challenges
At the recent ECA Casino Industry Forum, held at Hit universe of fun’s Perla Resort in Slovenia, G3 interviewed keynote speaker, Prof. Aleksandra Przegalińska-Skierkowska, Vice-Rector for International Cooperation and ESR Kozminski University in Warsaw.
Aleksandra, does AI create a problem that we then solve with AI?
Te fact is, I know my students generate essays with AI. It's common knowledge, but each university takes a different approach. Some want to ban AI, which I think never can be fully effective. Others are saying, ‘be transparent about it,’ build trust between the institution and the students so they admit to using AI. Another response, of course, utilises AI. We can use AI-based classifiers and different types of AI algorithms to detect whether someone has indeed generated their articles with AI. Te same applies to deepfakes. In order to recognise and classify a very well-done deepfake, you need an AI model because the human eye isn't able to spot the fake. So I think there's a loop happening, where we introduce this technology, it's then widely adopted - and where those adoptions are either risky or very problematic, then quite often AI is the only solution to the problem raised by AI.
Is it problematic just to consider how AI will affect one sector in isolation? For example, land-based, when AI will affect all the adjacent sectors too - such as online, sports betting, lotteries etc?
I'd say it's best to look at the whole ecosystem. AI is a general purpose technology that will change everything. It's changing users' habits, whether or not they're playing online, offline or both. It's changing the way we work and simply go about everyday tasks. So I think you cannot take an isolationist's perspective. Having said that, looking for very specific use cases of AI can be helpful, as there's a very big umbrella of
40
different possible solutions. If you look at how AI can help, for example, retail stores, you can explore things like intelligence shelves and smart metering. While you can't completely isolate retail stores from online stores, there are useful use case scenarios that you can still explore.
You've talked about AI replacing repetitive and mundane tasks. Do you think it will replace game coding - even steal the code of games to create new AI-generated games?
So there are two things to unpack. Te first is that you have to distinguish between AI per se and generative AI, because generative AI can create things. I do think there’s a big risk when you try to use AI as a predictive technology for whatever purpose, or you use it as an optimising technology. Te issue is that suddenly in your data set, or rather in the output of the model, with generative AI you’ll find things you never put there.
I appreciate that this is an issue and I understand how there is a lot of hesitation around this subject. I see that hesitation in many sectors. I mean, it's not a problem, say, for marketers, but it is a problem for the health sector. It is a problem for the legal sector.
And it is a problem also for a sector like gambling. I think it's important to be precise as AI has a capability of hallucinating (an AI hallucination is when an AI model produces a false or misleading result, often presented as fact). So that is an issue.
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140 |
Page 141 |
Page 142
