These 3 AI themes dominated SXSW – and here’s how they can help you navigate 2025

Although artificial intelligence technology capable of controlling the world is limited to literature and scientific fictional films, the current artificial intelligence is able to commit violations, such as hallucinations, training in people’s data, and the use of others’ work to create new outputs. How do these shortcomings are in line with rapid artificial intelligence?

This question was extensively explored in SXSW, with most of the prosecution-related sessions that touch-or-diving deep into the subject of artificial intelligence safety. The company’s leaders from IBM, Meta, Microsoft and Adobe, but not limited to, had visions to participate in the future of artificial intelligence. Consensus? Not everything is death and depression.

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“Artificial intelligence needs a better public relations agent; all we have learned is a science fiction,” said Hana Eschker, Firefly founder at Enterprise at Adobe. “We believe that artificial intelligence will take over our lives; this is not the purpose of it.”

Regardless of the committee, the leaders of some of the largest technology companies, Amnesty International, discussed three comprehensive topics on how to suit safety and responsibility in the future of technology. What they had to say could help put your concerns easily.

1. The issue of use is important

There is no denial that artificial intelligence systems are defective. They often shake and merge the biases in their responses. As a result, a lot of anxiety about the integration of artificial intelligence systems in the workplace will lead to errors in internal operations, negatively affect employees, clients and work objectives.

The key to mitigating this problem is to carefully think about the task it delegates to artificial intelligence. For example, Sarah Bird, CPO from Microsoft, is looking for use cases that make up a good match for what technology can do today.

“You want to make sure you have the right tool for this job, so you should not necessarily use artificial intelligence for each one application,” said Bird. “There are other cases that we may never use.”

An example of the state of use of artificial intelligence that may be annoying is to use for employment practices. Several studies have shown that artificial intelligence has inherent biases that make them prefer some nationalities, educational backgrounds and races in their outputs. As a result, IBM has stopped using artificial intelligence agents to liquidate and choose operations, instead, use an agent to help match candidates with potential job roles.

“I can’t emphasize enough importance to make sure that your use of artificial intelligence and agents is suitable for your company and your culture,” said Nickel Lamorio, the IBM chief human resource employee, said.

Also: 5 fast ways to modify the use of artificial intelligence for better results – and a safer experience

Although artificial intelligence can do many tasks, this does not mean this. Understanding technology restrictions and power points is a key to ensuring that users get the best possible results from implementing artificial intelligence and avoiding the restaurants.

2. Humans are here to survive

When artificial intelligence systems become more intelligent and independent, people are naturally anxious about technology capabilities to negatively affect the workforce by making humans more replacement. However, both business leaders agreed that although artificial intelligence will turn the work as we know it, it will not necessarily replace it.

“Amnesty International allows people to do more than they had done before, and not necessarily a alternative to wholesale.” “Will some jobs be replaced? Yes, but like any other technology, like the Internet, we will see new jobs developing, and we will see people use this technology and perform their functions differently from before.”

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Throughout the conference, leaders and experts have discussed the similarities between artificial intelligence and other transformational techniques, such as the Internet, because they share many similarities. For example, just as the Internet replaces the hours of the library, the new Deep Research AIS or Openai now can complete the search hours in minutes.

“Think about it like e -mail, mobile phones or the Internet – artificial intelligence tool, artificial intelligence is a platform, each function has been diverted,” said Lamorio.

3. User confidence will be one of the biggest challenges

When discussing obstacles that prevent the developments of artificial intelligence, road barriers that people usually consider to be the technical development of artificial intelligence models, that is, how models can be built safer, faster and cheaper. However, part of the discussion that is often left is the morale of the consumer.

In SXSW, the role of the consumer was widely discussed because, in the end, these models will be useful and transforming only if people trust them enough to consider their experience.

“Artificial intelligence is worthy of trust only like people put confidence in it – if you do not trust him, this is useless; if you trust it, you can start adopting it,” said Lavania Burde, the head of confidence and safety in Hegene.

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As discussed above, transformational technologies, such as the Internet, the cloud, or even the frequency calculator. Irvwin used an example of the discount card to clarify this idea, as is the case when it was initially launched, people were concerned about what it means to the security of their money.

“With every new technology, this initial reaction is by policy makers, by the market, by consumers who rely on a little fear,” added Irwin from Meta.

To overcome this obstacle, companies must remain transparent about their models, how they have been trained, red capture policies, safety methods, and more. There was already a boost in this direction, as more companies add model cards to their versions.