N1HRV — broadcast 20260920 050000 UTC 382 transcript segments Google Speech-to-Text API Automatic Transcription (Chirp) Data courtesy of The GDELT Project (https://www.gdeltproject.org/), from the Internet Archive TV News Archive. Machine transcription. Treat it as a searchable index of what was broadcast, not a verbatim quotation record. [00:00:04] Did of I do the right thing? Should I [00:00:07] in go see doctor? What should I cook for [00:00:10] dinner? People are turning to artificial intelligence as a [00:00:14] constant companion, chatting with it almost like it's [00:00:17] a close [00:00:19] a friend. But what is AI actually good [00:00:23] at? When should we trust it, and when should we be more [00:00:40] career decisions, replacing psychotherapist or even a [00:00:43] of friend, [00:00:43] in whatever the problem, artificial intelligence always seems to have the [00:00:47] right answer, but Hamburg-based AI researcher [00:00:51] Maximilian Keeneer encourages his students to think critically about [00:00:54] AI responses. Die wachsen jetzt in [00:00:58] einer. machine instantly answers any [00:01:01] question, that's Maximilian Keaner's avatar [00:01:05] talking, the researcher programmed it himself, thereby making [00:01:08] himself replaceable, at least according to the [00:01:11] AI. I could handle your [00:01:14] emails, your [00:01:16] of reports, even this interview, and honestly I do a pretty good [00:01:18] job, yeah, maybe emails, that's just [00:01:21] optimization, but talking to students, interacting, showing [00:01:25] empathy, taking [00:01:27] of responsibility, you can't do that, you're [00:01:28] of just imitating. [00:01:29] 30 [00:01:45] of [00:01:52] of [00:02:05] photos of [00:02:06] every [00:02:11] single cherry down to the smallest detail and that's no problem for [00:02:15] AI, but cherries aren't [00:02:17] people. what [00:02:20] AI simply can't do is make value [00:02:23] of judgements, which career path should I choose, the law, medicine, [00:02:27] something [00:02:28] of else? there isn't one correct answer. It's not a [00:02:30] calculation, the problem we keep [00:02:33] of running into is that we try to squeeze every complex problem into an AI [00:02:37] format, das KI Format drücken [00:02:40] wollen. In Keino's view, ethics doesn't slow down the development [00:02:44] of AI. It's what makes AI genuinely useful for people in the first [00:02:48] place. A team from the universities of Hornheim and [00:02:51] Bamber has developed an AI that doesn't always have a quick answer. [00:02:55] This socratic AI openly admits when it isn't entirely [00:02:59] sure. [00:03:05] a [00:03:14] questions leads to [00:03:16] Asking follow-up more balanced responses [00:03:17] of and helps build trust, especially among professionals. [00:03:21] A study found that doctors, for example, often remain cautious about [00:03:24] AI. That's because experts can sometimes underestimate what [00:03:28] the technology is actually. [00:03:34] of [00:03:40] AI of deep fakes like these have become very convincing in recent years and [00:03:44] as computing power continues to grow they're getting even more [00:03:47] realistic. the same goes for deep fakes circulating on the dark [00:03:51] web, but is that really innovation? just because [00:03:55] something's new doesn't make it innovation, there has to be value in [00:03:58] it. for [00:03:59] of example, [00:04:16] of [00:04:30] calculations, but Kina says humans still need to make the [00:04:33] decisions. It's [00:04:37] easy to forget what's really happening when we ask AI a [00:04:41] question. Behind every answer is vast network of [00:04:44] computers housed in [00:04:47] of massive highly secure facilities protected from dust and [00:04:50] heat, and nowhere has more [00:04:53] of them than northern [00:04:54] of Virginia in the US, just next to Washington [00:04:56] DC. They take up enormous amount. of [00:05:00] space consume huge amounts of electricity, and [00:05:04] they're not just an isore, they're pretty noisy [00:05:07] too. [00:05:12] Pirio first stepped outside the home he just bought in 2012, [00:05:16] he was surrounded by greenery, but where there was once a [00:05:20] forest, there's now data [00:05:22] center. It's really frustrating, we you [00:05:25] know uh, how they how they could have voted to change the [00:05:29] zoning to allow this so close to a neighborhood is beyond [00:05:33] my comprehension. It's not just the view that's [00:05:37] changed, the soundscape has [00:05:39] too. just such [00:05:43] annoying sound of angry [00:05:46] because it will reduce the prop the [00:05:50] value of our properties here, angry [00:05:53] because it chase the wildlife away from [00:05:57] us. the area in northern Virginia has become a [00:06:00] global hub for data centers where the information that powers giant [00:06:04] companies such as Uber, Netflix and Amazon as well as from AI [00:06:08] applications is stored and processed. [00:06:12] centers in particular require enormous amounts of [00:06:15] electricity. these are data centers, [00:06:19] look that direction, that direction behind us, all three [00:06:22] sides. Elena Schlussberg is also [00:06:25] frustrated. At Virginia's more than 600 data [00:06:28] centers, 260 are concentrated in just two residential [00:06:32] communities. In the 1990s, the area was home to [00:06:36] AOL, America's first major internet service [00:06:39] provider. Today it's at the heart the AI boom. [00:06:43] Look, see another American flag. We're all a part of America when we're building [00:06:47] out uh, the wealthiest industry in the world and paying for their [00:06:50] infrastructure. Northern Virginia leads the world in data [00:06:54] center concentration, accounting for 14% of all data [00:06:58] centers globally. Running those facilities [00:07:02] doesn't require many workers, but it does consume vast amounts of [00:07:06] electricity, and that's having an impact on [00:07:09] local residents. Communities are in direct. competition [00:07:13] with industry that has an unprecedented [00:07:17] need for power and water, and so those things that you normally rely on [00:07:21] your affordable, clean energy is now being [00:07:25] consumed by this one [00:07:27] customer, and that's why you see your utility bills [00:07:31] increasing. electricity prices here have risen by [00:07:35] 30% in just five years, the enormous demand for [00:07:38] energy is one major downside the AI boom. so [00:07:42] it looked as though it was matter of economic development and a good thing for [00:07:46] the community, but they did not think through the [00:07:49] implications for the ordinary rate payer. industry often [00:07:53] needs a certain amount of power, but it tends to be [00:07:57] distributed and the increases are predictable and [00:08:01] measurable. there's almost nothing that compares to [00:08:04] this in the past. but there are locals who are [00:08:08] benefiting. some residents have joined forces to sell [00:08:11] farmland for the... construction of data centers and power [00:08:14] plants, mine has been a family [00:08:18] farm for generations and [00:08:20] unfortunately my kids and grandchildren have [00:08:24] absolutely no interest in it, and we came up with a win win [00:08:28] solution, the county is going to make money, the [00:08:32] um, which helps them pay other people, all their [00:08:35] employees more money, get better parks, get better schools for [00:08:38] everyone, and yes we're going to make money. [00:08:42] more than $1 billion tax revenue every year, and [00:08:46] construction continues around the clock, but that growth comes a [00:08:49] cost. Depending its capacity, a single AI data [00:08:53] center can consume as much electricity as [00:08:56] an entire [00:08:56] city. [00:09:00] Keeping buildings cool already accounts for [00:09:03] more than 10% of global electricity consumption, and [00:09:07] demand is only expected to rise. Researchers think they [00:09:11] may have found a way to dramatically. reduce the energy needs for air [00:09:14] conditioners. They're developing new cooling technology that [00:09:18] uses special metals that heat up when stretched and cool down again [00:09:22] when released. Only enough room [00:09:26] for a single soda can, but this mini refrigerator is packed with [00:09:29] innovative technology. Researchers at Zalland [00:09:33] University in Southwest Germany have built it to demonstrate a new calling [00:09:37] method that could be more energy efficient and [00:09:39] climate-friendly. [00:09:44] We need less energy for cooling, that means lower energy consumption [00:09:48] overall, which ultimately means lower CO2 emissions [00:09:51] globally. This cooling system uses [00:09:55] very little electricity and doesn't require environmentally harmful or [00:09:59] flammable refrigerants, but how? The key [00:10:03] lies in bundles of fine wires, a bit like artificial muscles that [00:10:06] rotate around the cooling chamber. They're made from a shape [00:10:10] memory alloy. engineered to return to a preset [00:10:14] shape after being deformed. [00:10:17] is a professor of smart material systems at Zaland [00:10:20] University. He uses an infrared camera to show us what's [00:10:24] happening. The thermal image reveals the hidden superpower [00:10:28] the nickel titanium wires under tension. It's the same [00:10:31] phenomenon seen a balloon, a phase [00:10:34] transformation. The atoms arrange themselves [00:10:37] differently depending on the temperature and the mechanical stress in the [00:10:40] material. So when I stretch this bundle of wires, I force it into [00:10:44] different phase. The atoms reorganize [00:10:47] themselves. That creates a different energy state, heat is [00:10:51] released and the material warms up. When I release the tension. [00:10:55] the atoms rearrange themselves again, we get different energy state, [00:10:59] heat is absorbed and the bundle cools down again. this is known [00:11:03] as an elastocaloric effect. it can create temperature differences [00:11:06] of up to 40 degrees celsius within the material. the phenomenon [00:11:10] is well known, but only recently have researchers tried to harness it for [00:11:14] use in refrigerators and heat [00:11:16] pumps. [00:11:21] how do we transfer the heat and cold that we generate to where it's actually needed? [00:11:25] In a fridge, we need to bring the cooling into the interior and release the heat [00:11:29] into the surroundings. Here, [00:11:33] circulating air passes over the cooled wires, then flows round the [00:11:36] cooling chamber circled in blue, causing the contents inside to cool [00:11:40] down too. The team from Zarbrucken demonstrates the [00:11:44] technology with this mini refrigerator at trade shows and [00:11:47] conferences. However, its compact design limits its cooling [00:11:51] performance. Drinks inside can only be cooled to about 12 degrees. [00:11:56] The team has also developed more powerful prototypes with cooling [00:12:00] capacities of up to 250 watts, roughly what an average fridge [00:12:04] needs, but in computer simulations, electricity [00:12:07] consumption is about half that of comparable conventional [00:12:10] systems. The technology is slowly gaining [00:12:14] momentum. Startups around the world are developing caloric heat [00:12:18] pumps and refrigerators. Both the European Commission and the [00:12:21] U.S. Department of Energy see enormous potential. [00:12:25] air conditioners are becoming more common in households around the world, in India for [00:12:29] example, and they consume huge amounts [00:12:33] of energy. The world's roughly 1.6 billion air conditioning [00:12:37] units account for around 30% of global electricity [00:12:40] consumption, according to estimates from the international energy [00:12:43] agency. That figure has at least tripled since [00:12:46] 1990. Researchers at the center for [00:12:50] mechatronics and automation technology in Zarbrucken are convinced will need [00:12:54] innovative. [00:13:25] But that goal [00:13:26] is still a long way off. For now, the latest prototype is tackling [00:13:30] different challenge. The nickel titanium wire bundles wear [00:13:34] out over time. Depending on the alloy and the amount of force [00:13:37] applied, they can withstand anywhere from tens of thousands to hundreds of [00:13:41] thousands of cycles. The new replacement cartridge makes [00:13:45] swapping them out relatively easy. In this case, just 28 [00:13:49] grams of nickel titanium wire provide roughly 100 watts of cooling [00:13:53] power, more than enough for the small. [00:13:59] The technology is very well suited to places that need to be clean, the [00:14:03] air passes directly over the wires and releases into the room without causing [00:14:07] any problems. The Zarbrukan team believes it [00:14:10] cooling systems could find a market in niche applications such as lab [00:14:14] equipment. They believe the technology could be ready within 2 to [00:14:18] 3 years, but they estimate it will be at least another [00:14:22] decade before consumers can start replacing. conventional [00:14:25] refrigerators with elastocaloric [00:14:27] systems. As [00:14:31] temperatures rise around the world, so does the risk of [00:14:34] wildfires? Particularly vulnerable are canniferous [00:14:37] forests, dominated by a single species and trees the [00:14:41] same age. One solution could be more resilient [00:14:45] mixed forests, but choosing the right trees to plant for the [00:14:49] future is a complex task. Forest owners have to [00:14:53] think decades ahead. AI help them make those [00:14:56] decisions? [00:15:02] what i plan here today will be harvested by future generations and hope i make the [00:15:06] right [00:15:06] decisions. [00:15:11] if the decision is wrong, i have to make expensive changes, rebuild and basically [00:15:15] start all over again. to create the forest the [00:15:19] future you first need a lot of information about its current [00:15:22] condition. a research team. University of Applied [00:15:26] Sciences in central Germany is developing an app that allows [00:15:29] anyone walking in the woods to share their [00:15:31] observations. [00:15:37] smartphone horizontally, and then you take three [00:15:40] photos. first, [00:15:42] it says here, take a picture angled up into the tree [00:15:44] canopy, then it tells me to take a second photo straight [00:15:48] ahead into the forest, and a third one angled down towards the [00:15:52] ground. after that, i can share my location and upload [00:15:56] the images. photos taken by forest visitors are [00:16:00] a real treasure trobe of data, say the researchers [00:16:02] every measurement, [00:16:06] every piece. information helps, they've discovered a [00:16:10] medium-sized fallen deadwood log, heavily decomposed, [00:16:14] even that will be recorded, the data is meant to [00:16:18] provide the foundation for a completely new [00:16:20] approach. we developing an AI [00:16:24] model and investigating whether AI can assess the condition of a forest [00:16:28] based on photographs. what [00:16:31] special is that anyone can take part? as citizen [00:16:35] scientists, volunteers the app to take photos on their [00:16:39] walks. The project is called [00:16:43] Minervalt Kai, meaning My Forest [00:16:45] AI. The [00:16:49] researchers trained the AI model behind the app, using more than [00:16:52] 6,00 their own photos from two [00:16:55] forests. The next step is to [00:16:59] encourage enough citizen scientists to take [00:17:01] part. The first version the free [00:17:05] myforest AI app is already available. for android. It should [00:17:09] provide invaluable insights about the forest's current [00:17:12] conditions, but many forest owners need to make changes [00:17:15] now, like here in Munich. They need to know which tree species can [00:17:19] best withstand heat, drought, and pests, and these are big [00:17:23] decisions. Replacing the ecological benefits of a single mature [00:17:26] tree, like water storage and carbon capture, can require up to [00:17:30] 400 young trees a cost of up to €25,00 euros per [00:17:34] hectare, and they're having to make these decisions. [00:18:07] dedicated forester. That's why he founded a startup called [00:18:11] Arbero. Using software and AI, he calculates which [00:18:15] tree species can best survive in specific locations. To do [00:18:18] that, he purchases data, including from the European space [00:18:22] agency. The app [00:18:25] combines factors from a wide range of data: how [00:18:29] acidic is the soil, is location expected to receive lot [00:18:33] of rainfall or very little. How much [00:18:37] sun? shine and frost is there, how are temperatures [00:18:41] changing, and is the terrain flat or [00:18:44] mountainous? all of this is mapped with precision down to just [00:18:47] few square meters, using data from the year 2000 up to [00:18:51] now. die plattform, the the [00:18:54] platform shows existing [00:18:54] which tree species is most suitable, both today and in [00:18:58] projections extending to the year 20100. i can also [00:19:02] change the mix of tree species and see exactly which ones are best suited to [00:19:06] that location. Today Sylvius is [00:19:10] inspecting bark beetle damage with forester Thomas Venger whose [00:19:14] experience helped with the development of our barrow. [00:19:17] After the outbreak, many beetle infested trees had to be felled and removed, [00:19:21] leaving large stretches almost empty of [00:19:24] trees. The [00:19:27] losses were substantial. In the future, the digital forester he [00:19:31] created will hopefully reduce that risk, but these [00:19:35] AI supported systems won't make [00:20:08] Experts envision something like this: uniform [00:20:11] monocultures such as spruce forests will be replaced by mixed [00:20:15] forests made up of deciduous and canniferous trees of different ages [00:20:19] and heights. This creates distinct forest layers: the [00:20:22] canopy, middle layer and undergrowth; light and shade alternate [00:20:26] across the forest floor, encouraging different layers of growth. [00:20:30] Sustainability will also play a role. Only individual trees will [00:20:34] be removed, a process known as group selection harvesting. [00:20:39] the gaps allow the forest to regenerate without losing its cool, [00:20:43] moist [00:20:43] microclimate. it [00:20:47] starts with a single decision, which tree and where? Which species am I [00:20:51] putting my faith? It's difficult, but we have access to [00:20:55] huge amount of data and we should make use of [00:20:57] it. In the future, [00:21:01] data will also come from citizen scientists, and everyone who [00:21:05] contributes gets a little something in [00:21:07] return. [00:21:14] When someone uploads a contribution, they receive a thank you message, because we're [00:21:17] grateful for every submission from the public. They also [00:21:21] receive some information about the forests information. [00:21:25] Building the forest the future means making decisions today that will affect [00:21:29] generations to come. No one knows exactly what these forests [00:21:33] will look like a hundred years, but the process of creating them [00:21:37] has already [00:21:37] begun. [00:21:47] allows people who are deaf or hard of hearing. to feel [00:21:51] music through their entire body and get out on the dance [00:21:54] floor. now everyone's picking up good [00:21:57] vibrations. [00:22:04] young musicians are competing for recognition, prestige and [00:22:08] prize money in one of Switzerland's biggest talent contests. [00:22:12] the crowd is feeling the music, especially the people standing on these [00:22:16] special platforms. they convert sound into vibrations. [00:22:20] sending it directly through the [00:22:21] body that makes the [00:22:25] concerts a tangible experience even for people with hearing [00:22:29] impairments. [00:22:33] it makes a huge difference. when i go to a party, i [00:22:37] can feel vibrations through my body, but i don't pick up the finer [00:22:41] nuances the music. here with this platform, they really come [00:22:45] through. wow, wow, [00:22:48] incredible. This is the first time I've experienced anything like [00:22:52] this, the platform, the music, it's [00:22:54] fantastic. I want more of [00:22:58] it, much more, a thousand times [00:23:01] more. It's amazing. They should keep [00:23:04] doing this. [00:23:08] Until now, sign language interpreters could only convey song, lyrics and the [00:23:12] mood the music. Now deaf concert goers are [00:23:16] getting much more immersive, sensory experience. [00:23:20] the vibration platform is being used at concerts for the first time and [00:23:24] still requires close supervision from its [00:23:26] inventorland. [00:23:32] this is a live concert, not pre-recorded music. as soon as the [00:23:36] band gets on stage, you have to be ready to make adjustments and bring out the [00:23:40] frequencies that are best felt through the [00:23:42] body. [00:23:46] event technology specialist roland developed the platform largely from home. [00:23:53] large coil that creates [00:23:55] a [00:24:10] This is the tactile transducer, inside there's [00:24:12] a magnetic field from the signal we send to [00:24:14] it. [00:24:23] The vibration platform came about during preparations for the Eurovision [00:24:26] song contest in Basel. Roland was part the [00:24:30] communications team at Swiss Public Broadcaster [00:24:33] SRG. The moto [00:24:37] was united by music and we really wanted to embody that [00:24:40] idea. The goal was to bring as many people together as [00:24:44] possible, including those can't hear music and let them [00:24:47] experience it. [00:25:20] is connected to music, why should anyone be left [00:25:22] out? as deaf community, we're often [00:25:26] left out, a concert without a vibration platform isn't nearly as [00:25:30] engaging, here we can take part on equal [00:25:32] terms. the goal is to [00:25:36] make live music more accessible and more inclusive so that more [00:25:40] people can enjoy it together, sharing that extra [00:25:43] buzz.