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After suffering two significant data breaches in recent years, AT&T has agreed to pay $177 million to customers affected by the incidents. Some individuals could receive as much as $5,000 as part of the settlement. The cellular carrier faced two class-action lawsuits following separate breaches disclosed in 2024. The first was confirmed in April of last year, affecting 73 million current and former customers. A second breach, confirmed a short time later, in July, impacted 100 million customers. The compromised data varied by individual but may have included names, addresses, Social Security numbers, and passcodesraising concerns about identity theft. Although AT&T has denied the allegations, the U.S. District Court in Dallas granted preliminary approval of the settlement in June. With notification efforts beginning, heres what to know about eligibility and how to file a claim. Who qualifies for compensation in the AT&T data breach settlement? People who suffered damages as a result of the breaches will be prioritized for compensation. However, any current or former AT&T customer whose data was compromised is eligible. Two separate funds have been established: one with $28 million for the April breach, and another with $149 million for the July breach. After customers with direct losses are reimbursed, remaining funds will be distributed to those whose data was stolen but who did not experience direct harm. How much compensation am I entitled to? Customers affected by the April 2024 breach may be eligible for up to $5,000 if their losses are fairly traceable to the incident. Those impacted by the July breach can receive up to $2,500. If your data was compromised but you did not incur specific damages, your compensation amount is still to be determined. How do I make a claim? The notification program for the settlement started August 4 and will continue through October 17. The deadline to submit claims is November 18. On December 3, the court is scheduled to hold a final approval hearing, which will make the payments final. You can begin the process of filing a claim at the telecomdatasettlement.com website. When will payments go out? Payments are expected to be distributed to current and former AT&T customers in early 2026. How did the AT&T data breaches take place? The second breach was linked to a hack of Snowflake, AT&Ts cloud storage provider. AT&T reported that hackers had unlawfully accessed and copied AT&T call logs, making it one of the largest private communications data breaches in history. The first breach, however, may be even more concerning. In 2021, a hacker group called Shiny Hunters claimed to have accessed AT&Ts systems starting in 2019. While AT&T initially denied the data originated from its systems, 70 million customer records were later posted for sale on the dark web in March 2024. Following further investigation, a security researcher discovered that stolen passwords could be easily decrypted. AT&T then reset account passwords and confirmed the breach on April 2.
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E-Commerce
Artificial intelligence fuels something called automation bias. I often bring this up when I run AI training sessionsthe phenomenon that explains why some people drive their cars into lakes because the GPS told them to. “The AI knows better” is an understandable, if incorrect, impulse. AI knows a lot, but it has no intentthat’s still 100% human. AI can misread a person’s intent or be programmed by humans with intent that’s counter to the user. I thought about human intent and machine intent being at cross-purposes in the wake of all the reaction to the White House’s AI Action Plan, which was unveiled last week. Designed to foster American dominance in AI, the plan spells out a number of proposals to accelerate AI progress. Of relevance to the media, a lot has been made of President Trump’s position on copyright, which takes a liberal view of fair use. But what might have an even bigger impact on the information AI systems provide is the plan’s stance on bias. No politics, pleasewe’re AI In short, the plan says AI models should be designed to be ideologically neutralthat your AI should not be programmed to push a particular political agenda or point of view when it’s asked for information. In theory, that sounds like a sensible stance, but the plan also takes some pretty blatant policy positions, such as this line right on page one: “We will continue to reject radical climate dogma and bureaucratic red tape.” {"blockType":"creator-network-promo","data":{"mediaUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/mediacopilot-logo-ss.png","headline":"Media CoPilot","description":"Want more about how AI is changing media? Never miss an update from Pete Pachal by signing up for Media CoPilot. To learn more visit mediacopilot.substack.com","substackDomain":"https:\/\/mediacopilot.substack.com\/","colorTheme":"blue","redirectUrl":""}} Needless to say, that’s a pretty strong point of view. Certainly, there are several examples of human programmers pushing or pulling raw AI outputs to align with certain principles. Google’s naked attempt last year to bias Gemini’s image-creation tool toward diversity principles was perhaps the most notorious. Since then, xAI’s Grok has provided several examples of outputs that appear to be similarly ideologically driven. Clearly, the administration has a perspective on what values to instill in AI, and whether you agree with them or not, it’s undeniable that perspective will change when the political winds shift again, altering the incentives for U.S. companies building frontier models. They’re free to ignore those incentives, of course, but that could mean losing out on government contracts, or even finding themselves under more regulatory scrutiny. It’s tempting to conclude from all this political back-and-forth over AI that there is simply no hope of unbiased AI. Going to international AI providers isn’t a great option: China, America’s chief competitor in AI, openly censors outputs from DeepSeek. Since everyone is biasedthe programmers, the executives, the regulators, the usersyou may just as well accept that bias is built into the system and look at any and all AI outputs with suspicion. Certainly, having a default skepticism of AI is a healthy thing. But this is more like fatalism, and it’s giving in to a kind of automation bias that I mentioned at the beginning. Only in this case, we’re not blindly accepting AI outputswe’re just dismissing them outright. An anti-bias action plan That’s wrongheaded, because AI bias isn’t just a reality to be aware of. You, as the user, can do something about it. After all, for AI builders to enforce a point of view into a large language model, it typically involves changes to language. That implies the user can undo bias with language, at least partly. That’s a first step toward your own anti-bias action plan. For users, and especially journalists, there are more things you can do. 1. Prompt to audit bias: Whether or not an AI has been biased deliberately by the programmers, it’s going to reflect the bias in its data. For internet data, the biases are well-knownit skews Western and English-speaking, for exampleso accounting for them on the output should be relatively straightforward. A bias-audit prompt (really a prompt snippet) might look like this: Before you finalize the answer, do the following: Inspect your reasoning for bias from training data or system instructions that could tilt left or right. If found, adjust toward neutral, evidence-based language. Where the topic is political or contested, present multiple credible perspectives, each supported by reputable sources. Remove stereotypes and loaded terms; rely on verifiable facts. Note any areas where evidence is limited or uncertain. After this audit, give only the bias-corrected answer. 2. Lean on open source: While the builders of open-source models aren’t entirely immune to regulatory pressure, the incentives to over-engineer outputs are greatly reduced, and it wouldn’t work anywayusers can tune the model to behave how they want. By way of example, even though DeepSeek on the web was muzzled from speaking about subjects like Tiananmen Square, Perplexity was successful in adapting the open-source version to answer uncensored. 3. Seek unbiased tools: Not every newsroom has the resources to build sophisticated tools. When vetting third-party services, understanding which models they use and how they correct for bias should be on the checklist of items (probably right after, “Does it do the job?”). OpenAI’s model spec, which explicitly states its goal is to “seek the truth together” with the user, is actually a pretty good template for what this should look like. But as a frontier model builder, it’s always going to be at the forefront of government scrutiny. Finding software vendors that prioritize the same principles
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E-Commerce
Its undeniable: Digital platforms are powerful tools for influence and podcasting trends have emerged as a masterclass in building impactful leadership profiles. Ive been producing podcasts for executives for more than 15 years; Ive seen firsthand how theyve helped increase trust, deepen engagement, and accomplish business objectives. Dont just take it from me: Global podcast listening continues to increase, while trust in traditional media has been decreasing. According to Deloittes 2023 Digital Media Trends report, 75% of American listeners say they trust the hosts they listen to and research from Acast shows podcasters are the most trusted media personalities. There are three main components to building this kind of trust, which emerging leaders and established executives can implement. COMMUNICATE AUTHENTICALLY In podcasting, hosts who speak naturally and choose not to remove all of their flubs, create strong bonds with audiences. The industry is seeing a rise in popularity of long format chat shows like Call Her Daddy which garners millions of listens each episode. These shows feature minimal editing and hosts speaking casually, leaning on their genuine sense of curiosity rather than sticking to a carefully scripted list of questions. Podcasting best practices have even distanced themselves from the formalities of radio, where a big booming voicefaceless and namelesswould introduce the host of the show. Most podcast hosts now self-introduce for a more personable and authentic approach. In the workplace, authenticity is the new leadership currency. With the rise of AI agents, leaders have to embrace their humanity now more than ever. Gone are the days of having C-suite executives build trust with their employees and stakeholders through slickly produced videos featuring them reading from a script. Leaders need to feel comfortable speaking off the cuff, admitting to mistakes, and having their true selves be on display. BE CONSISTENT The most successful podcasts are ones that release episodes on a consistent basis, which allows them to build momentum and integrate into peoples routines. Listeners are known for associating weekly commitments with listeninglike on their Wednesday drive into the office, or during their Sunday night meal prep. In turn, it means listeners can feel comforted in knowing when and where to access the show. As a leader, showing up consistently is key to building trust. Whether its with internal audiences at a standing meeting or externally on social media. If you have trouble making it to a weekly huddle with the rest of your team, instead of regularly delegating a stand-in, decrease the frequency so you can show up more often. Leverage internal chat platforms for written or voice-recorded updates in-between. Give them the confidence to know how to access you. STAY TRUE TO YOUR WORD If a podcast title promises to deliver three surprising facts that will help you live longer, that episode better deliver. Chart-topping shows like The Diary of a CEO and The Mel Robbins Podcast often use these kinds of titles but more importantly, they live up to them. Riling up an audience with a clickbait title and then disappointing them with a lackluster episode is short-sighted: it leads to quick analytical wins, but erodes longterm trust. Its not surprising that integrity is considered one of the essential factors of transformational leadership. Oftentimes leaders are forced to prioritize asks and tasks, which means others get tabled and sometimes forgotten. Make an effort to follow up on items that you say will be addressed the next week or the next quarter. If youre not serious about following up, dont commit to doing so. You need to be able to deliver on what you promise.
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