Podcast: What is the future of artificial intelligence?

[@cambridgeuniversity]

If you want to skip ahead or rewind to a bit you liked, here are the time-stamps for each section: [0:00]- Introductions [1:22]- guest research introductions [1:55]- what is AI? [2:46]- machine learning and AI as the same thing? [4:31]- Artificial General Intelligence (AGI) [4:47]- AI in our everyday lives- it’s everywhere! [6:07]- effect of different patterns on AI e.g. COVID-19 anomalies [6:46]- we need human flexibility to respond to these changing patterns [7:27]- what is a futurist in residence? [8:37]- the only certainty with the future is that it is uncertain. There are lots of futures out there. Being a futurist is all about debating and scenario planning [9:41]- should every organization have an AI and futurist officer? [10:09]- how we think about the future as reflecting on what we think about the present [10:54]- Alvin Toffler and 20th-century futurism [11:55]- futurism and AI. AI dialogue needs to be about its impact on the future [12:54]- running out of humans? [13:33]- AI in care homes [13:38]- Time for the first recap! [17:55]- the relationship between AI and religion, and the cultural impact of AI [19:58]- cultural animation and AI receptivity- not a simple relationship [20:35]- being ‘blessed’ and ‘cursed’ by the algorithm [22:04]- democracy and AI. How are we to expect citizens to be informed enough to exercise their voting rights in the best way? [23:28]- Cambridge Analytica and drastic changes in voting. How much does and should the public know? [25:45]- what opportunities do people have to get informed about AI? [27:30}- what do the people who are creating AI need to hear? [27:40]- ‘open AI’ and the need for public access to AI algorithms [28:59]- Digital trust and who gets to own data [29:27]- AI and moral responsibility. This is where the religious aspects enter the AI debate. [30:25]- the ‘deontological approach: building an AI ‘rulebook’ [31:25]- problem with ‘ethical AI’ is that we don’t really know what an ethical human is. [32:27]- Time for recap number two! [37:00]- a post-pandemic world and changing human interactions [38:35]- the ‘Hello Barbie’ robot. Is it socially acceptable for children to be raised by machines? [39:00]- the hackability of home products [40:25]- corporations who produce ‘smart’ products can be using data to change our choice architecture [42:00]- the public understanding of algorithmic bias [44:06]- media coverage of AI and the fear of apocalypse [45:01]- loss of free agency… or did we never have any? [46:00]- to what extent is our skillset being degraded because of AI? [46:25]- imagining a post-work future. Wall-e or Startrek? [47:10]- the utopian/dystopian tension [50:45]- science fiction and its reflective role in society [52:35]- moving to solutions for combatting AI issues [53:00]- the importance of regulation and antitrust laws [55:00]- the tension between national and international AI codes of conduct [58:05]- Thinking about the benefit of AI can teach us about what makes a good life [58:20]- concluding summary

[@sascharettenmund7311]

Can you contact me please, I am very sure that i can talk whit this software just whit my brain.. And the computer has learned from me and don't want to quit my!

[@jules3815]

So can you contact me I'm algérien I am 13 Year old and I had in my exam 19.36

[@sascharettenmund7311]

Can you contact me! Is urgent, im sure i can connect me whit this software for deep learning!!

[@simpletechnology8439]

Soy latinoamericano,solo vine para aprender inglés escuchando 😁😄

[@BaronVonBlair]

Meritocracy. Skip epidermal objectification.