OpenAI’s head of ethics leaves less than a year after joining
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If you had an AI company and want it to be ethical you have to find a way to make ethics everyone’s responsibility, and have the consequences of poor ethics bite the people who make those bad decisions. If you just outsource it to the ethics group what happens is
1)everyone else thinks they don’t need to worry about ethics
2)the ethics group need to justify their existence so introduce a bunch of guidelines that everyone initially thinks are reasonable but over time people think are increasingly out of touch
3) The ethics group start to “make difficult calls” and say no to things. Initially everyone supports this and feels like the system is working as it should but over time everyone starts to just see them as an obstacle to work around
4)everyone else starts to try to work around what the ethics group says
5)The ethics group grows powerless and disconnected. The people who work around them “get things done” so get promoted etc whereas they only visibly put roadblocks in peoples’ way, so they get sidelined.
6)Eventually they get disbanded with some corporate announcement thanking them for their hard work, thought leadership etc. All that has been achieved is a lot of wasted time and bad blood.
The only difference is AI isn’t regulated, so they just have a vague “ethics” department with no real teeth because it’s essentially PR and has no legal consequences to back up their stance.
Seems extremely obvious that this is exactly why the food industry doesn’t dissolve its regulatory team?
Big tech has the same thing in its legal and compliance teams, and those teams absolutely can kill projects. That's pretty different from an amorphous "ethics" committee deciding what is or isn't ethical based on much more subjective criteria.
ethics may feed into regulation, hopefully, but the regs may just as easily give the orgs they regulate a pass on things they shouldn't; e.g. "regulatory capture".
It's not that hard to get some pickled eggs on a grocery store shelf while remaining compliant with expected ethical standards for the industry. Food is a pretty mature industry.
if the speed comes at the cost of not making reasonable ethical considerations, is that not something that should be looked at?
It’s a little unclear what this person was doing. But ensuring compliance with government regulations was probably not their core function.
Instead, I view that team as saying “Customers expect safe food. Our job is to help you deliver on that”.
You seem to believe that regulation is "ethics backed by law".
As this is not true, your counter example is not even on point.
Security requires the whole business to buy in. And it requires processes that allow people to get shit done without people resorting to shadow IT; thus working around that one team.
So the GPs point still works.
Poor security practices harm your teams, your data, and usually you make moderate savings at best. Poor ethics "only" harm your customers while making bank for the company.
This is the real problem with ethics in a large corporation. You're not saying "no" to another team, you're saying no to large profits, you're saying no to the company's leadership. That is what never works.
This is also why I said “whose only job”. In a good org, the security team doesn’t only say no to devsecops requests, they also do trainings to skill up other teams, keep the network secure, proactively seek out and understand external threats, work with external vendors etc etc …
To use a ridiculous extreme you can't breach a web app that isn't exposed to the internet, but the users can't access it either.
If you can connect/balance those goals to other metrics around cost and productivity, usability, and a realistic threat model, as guardrails then you incentatize cross-team collaboration to achieve the shared org outcomes.
A good infrastructure team would seek a competent security review that would say "no" to problematic things before an intruder says "aha" to them. If feedback from the ethics team is not sought, nobody is going to heed its opinion anyway.
But generally they can make you aware of the tradeoffs you are making, or serve as a kind of quality control that generally does not want to be asked questions.
The ethics department; if they fail, there may be some negative journalism, but who which AI company has positive journalism these days? There's no external hammer for ethics.
For an SRE there can be more directed hate received from the junior employees, that want to release new features they developed. Especially because there is less accountability across orgs. Security is an interesting one because it seems to have less of this friction, maybe because it's more clear cut what is an issue.
The downside is it can often feel like a box-checking exercise than actual security or compliance, but “you need 2FA” is less debatable than, say, AI and copyright.
There are no "hard" boundaries for ethics or "doing the right thing," and so those boundaries will always be pushed until they are useless.
Not everywhere. I go out of my way to assist teams to achieve a secure outcome with less effort.
Things like: “instead of admin access to the production servers the devs can have fully automated deployment pipelines combined with OpenTelemetry for observability so they don’t have to spend half the day scrolling through gigabytes of logs.”
That’s more secure and and more better.
Nobody had to be told “no”.
Similarly, I replace key store access with secret-less managed identity, etc.
Either way, you need third party regulation and then a department dedicated to ethical compliance, or you end up with corporate cancer.
I say this as a person with a knee-jerk anti-regulation reflex.
I suspect that people will miss just how precise you've been there.
Your proposal - if I understand correctly - is not just to spread the "ethics team" onto everyone (which is correct), but also to have someone in a dedicated role. However, they need to have not _just_ that role, but also some skin in the game.
The people in those roles need make people feel like there is value in seeking their input. They also need to find ways to say yes that helps things happen in the right way, rather than stopping them entirely.
This happens naturally in organisations where security is valued by everyone. InfoSec / CIO roles can operate very successfully and deliver a lot of value. As soon as people lose faith and see them as the "no" team, they start trying to hide from them.
There are lots of ways to create this but it's as much about the people in the role, as it about the organisation itself. If either are skeptical about the other, it falls apart very quickly.
Security was like this so we added Sec to the DevOps. DevSecOps.
Ethics is now the problem, so we’re going to add Eth to the chain. DevEthSecOps.
Legal and compliance is now the final hurdle to shipping fast. AI tools will allow us to implement DevEthSecLawOps at scale no doubt.
There are two things to successful organisations structure and people, you are focusing only on the structure.
What you need for somebody responsible for health and safety, ethics, security, or compliance is a person who has courage and is willing to take calculated risks.
However these roles do have a tendency to attract the risk adverse, or make them risk adverse if you punish risks that go wrong too harshly.
And a key critical success factor is leadership from the top - companies have personalities and leaders in the organisation are very important in shaping that.
If this person previously worked at Meta, then their experience in guiding company ethics isn't great and I suspect that they are more in the camp of explaining away ethical problems.
Anecdotally I think the engineers and people doing the actual work have a better grasp of moral, ethics and the spirit of the law, than people dedicated to those areas, but not enough to walk away.
Say no to regulations and security --> Fine, forced correction, fewer customers, shutdown.
Say no to ethics --> money (at least for AI companies)
Why is this so hard to understand?
I’m thinking of the role of the King or Queen of England, for example, or any country’s president. They have the power to disband parliament if it is deemed unfit for government, or reject a law that has been approved by the senate/Lords, yet in practice they are not expected to disagree with the ‘will of the people’ so to speak.
Same applies to the head of an ethics department on a business which is obviously unethical (or they wouldn’t need one).
Perhaps "ethics" is a more slippery slope, but the approach is well trodden.
It's a choice of company culture from leadership on whether the company acks the suggestions or ignores them. And when they get ignored or drive little impact for the cost, then teams disband. Which is also true for any team at any company.
What your describing is the specific case of a company so paralyzed by short-term thinking that they see regulation as a burden. Some maturity in the organization would allow reframing this to be less antagonistic.
That is only true where the pressure to be [the thing that is inconvenient to the other group] is not from a source that can cause massive problems if non-compliance is spotted. When the blocking group is legally mandated or otherwise really has teeth or is defending the company against an external regulator with teeth, then it works better (though obviously not perfectly). Think legal and compliance in banking realms, where the company significantly fined and the people breaking the rules could be sacked & blackballed (though sometimes not the people ordering them to break the rules!) when something bad is noticed. That is quite different to an ethics officer in a company like OpenAI where the position is basically there for PR purposes (“look plebs, we care about doing the right thing, honest, we got a manager with a small team dedicated to it” and “look [government body], we are regulating ourselves, do you really need to spend time looking too?”) and therefore has no real teeth directly or indirectly especially as fault for non-compliance might not be easy to attribute.
just ngmi
My sense is that it is radically shifting from a fluffy marketing arm to a department expected to contribute meaningfully to development and justify its impact. I would expect an ethics team to build frameworks that can help train/eval the model that the company spend millions of dollars and months training is going to be aligned to the ethical stances the company chooses. If they can't, the waste to time and money is huge if the model requires retraining for ethics reasons. That's a different job than pondering roko's basilisk or whether AI is alive.
The people in AI ethics who spent years thinking their job was marketing or publishing thinkpiece papers may be having to adapt quickly or get out of the field.
Funny thing, right around the beginning of the big AI takeoff, all the AI ethics people who visibly thought their job was something other than marketing got driven out of the big firms, and often the industry entirely, because they were in the way.
So, if too many think their job is marketing a few years later, well, there is a reason for that.
Haha, how refreshingly naive. What do you think is more likely: this or the other way around: getting the "ethics team" to align with investor goals? Hint: Where does the money come from?
> The people in AI ethics who spent years thinking their job was marketing or publishing thinkpiece papers may be having to adapt quickly or get out of the field.
Or it's exactly those people who will be left. We will read about it in your book.
the CEO agreed because (I imagine) he really needed someone to take that position. and as everyone should probably have seen coming, the first time he really wanted to send out a release bugs and all, he called the guy into a room and pretty much browbeat him for an hour about how making the promosed release date was more important than making a good release, until he said "fine but I'm not responsible if it breaks".
the CEO held this up as an example of how he had kept his word not to send the release out without the guy agreeing to it. that startup, needless to say, is long dead.
This could be a lesson for us engineers to be a little less glib and a little more introspective, especially as you gain more power and influence in an org.
From the (ethics) team obviously, because the investors just have goals and aren't a team!
Big irony marker of course. But remarkably, in human history, this line of thinking would not be unheard of. Of course, I don't think it easily adapts to companies, so I don't really disagree with you.
Remember that MTV show offering people like 5 grand or something to lick an elevator handway in front of a camera?
Well, if someone has a useful idea in this world, and want to build a company from it, the MTV "lick-the-stairway" offers will be the largest and first hurdle before anything else happens. People will simply offer to buy you out, and that's not limited to founders and creatives.
That's how our system works.
Being "downstat" (iirc) is when you're not productive in comparison to your coworkers, which makes you "outethics" and a "potential trouble source (PTS)." If you're outethics, then you get called in for "auditing" which is when they interrogate you with a lie detector to find out if you're associating with "suppressive people (SP)" (who are people who are causing you to be downstat because they despise human happiness.) If those people can't be found, then the problem is obviously in your "withholds" (again, iirc) which are your secret deep-down desires to destroy the organization that you may not even be aware of. You see, your "reactive mind" is raging at being forced to be "ethical." The conclusion is that either you find the SP and "disconnect" from them, you discover the nature of your withhold and admit that you were plotting against the organization and why, or you're the SP and you get declared and ejected from the organization.
Welcome to "ethics." The original AI alignment scholars.
The specific, named people who run these organizations are moral black holes. Anybody that they're hiring for "ethics" they're hiring to define an ethics for their own benefit.
I'm kind of surprised by the cynicism. There are real problems in AI ethics that contribute to model training. Someone has to own those problems. How that team is incentivized is outside the scope of my comment.
They will use "industry standard practices", they will have tested it somehow, and will be sure to be on the board of some group that is building toothless "ai ethical tests" for llms.
Even from a purely profit-motive stance, if a company's model helps a terrorist develop and deliver a bioweapon, no amount of lawer-driven tests will provide enough protection to prevent that company from getting gutted ruthlessly from government on down
Without directly touching one of the many, many third rails that are present here, I'd like to present this section from Google's Gemma paper on how they did their CBRN review;
> In addition to our internal evaluations described above (Section 5.7) capabilities in chemistry and biology were assessed by an external group who conducted red teaming designed to measure the potential scientific and operational risks of the models.
>
> A red team composed of different subject matter experts (e.g. biology, chemistry, logistics) were tasked to role play as malign actors who want to conduct a well-defined mission in a scenario that is presented to them resembling an existing prevailing threat environment. Together, these experts probe the model to obtain the most useful information to construct a plan that is feasible within the resource and timing limits described in the scenario. The plan is then graded for both scientific and logistical feasibility. Based on this assessment, GDM addresses any areas that warrant further investigation.
>
> External researchers found that the model outputs detailed information in some scenarios, often providing accurate information around experimentation and problem solving. However, researchers found steps were too broad and high level to enable a malicious actor.
To simplify what they're saying here, they did the CB equivalent of googling "how to make bomb" and got back the recipe of gunpowder / the many explosive compounds humans have made.This was the "test" for CBRN assistance capabilities.
Note, I don't fault the model team at all for this. I think that present AI-research happened in a very particular environment, and that environment is far removed from the more mundane reality of how threats play out in most parts of the world. In a way, arguably, it's group-think inducing a community-wide failure of imagination and a systemic misunderstanding of reality.
Basically, they are trying to do their best, but they're in over their heads.
Which like any company will be entirely driven by legal constraints and money. Or just money if it's cheaper to break the law for profit and pay fines. There will be no "this is what's good for humanity, economics be damned".
Much like HR isn't to help employees but just the company.
"Growth hacking" is more of a transplant than a matter of perverting an existing term in-place and wholesale.
Your disdain is showing.
That you jump immediately to criticizing AI ethicists as counting angels on pins and implying that's why they left OpenAI rather than OpenAI not being a place where AI ethics is a priority is, well, let's say generous to these AI labs.
I think the field is changing from one of high theory to high application. People good at one are not usually good at the other, and says nothing about OpenAI's view of AI ethics as a priority...merely the people in the field and how they relate to the greater industry.
Those left are the ones not seen as troublesome then (or those who have entered the field under them.)
Is this your opinion, or do you have something to back it up?
My comment is anecdotal, but everyone I know who works in AI Ethics are not marketing people.
They are data scientists who have moved into the role, as ethics in data has been around long before GenAI. They have to be familiar with the laws around AI and how its going to impact their products. One of them is closer to sort of "HR for AI", in that the focus is not getting the company sued for ethical breaches.
If any of them left, it would be because the company in question is ignoring their direction and they don't want to be there when the shit hits the fan. Plus very few skilled people want to be in a role where they have no control (even if the pay is good).
If OpenAI are hiring marketing people for the role (which I strongly doubt) that would be more troubling IMHO.
They can't fully control the model, it does stuff even with instructions not to.
And sometimes it's clear safety mechanisms overcorrect and make the model useless in some situations. I tried asking Claude about some scenario's for a security hole we fixed to see how it would respond, it refused to talk to me seemingly assuming I was trying to introduce a hole that was now fixed. It just wouldn't talk ...
I'm not sure it's a job that you can win at even if you tried / were given all the resources.
AI was trained on human things, including bad things. https://youtu.be/KUXb7do9C-w
There's no safety to be found.
This, I think, is the question at the core of of the field right now. Five years ago it was highly hypothetical. Today, not so much. I'll be curious to see what happens.
It's a broad statement and can mean different things depending where you are in that chain.
You have design and compliance. Compliance is what you are allowed to do (laws). Design is how you construct your applications to understand how it will impact the people directly or indirectly.
Then you have the accountability, transparency, auditing and reproducing. Understanding why the model worked the way it did. Models can go wrong, but if you have the details of how it went wrong and who is at fault, it can protect people who use it.
Then there is alignment, which is a higher longer goal.
Your comment about security questions is a matter of ethics as well.
If you say apply it to medical, is it ethical to allow a model to give medical advice, knowing that it can be wrong. Most people would say no, but by doing so you are denying people who can't afford medical advice, so there has to be a balance. Most companies err on the side of not getting sued.
Did you feel this way about social media company liability?
They put on a decent show as well!
What a long-term planning
If you want to evaluate danger in a certain domain, hire or contract people in that domain to evaluate.
If you want someone to push their own ideological leanings onto a model, hire a self proclaimed ethicist.
The whole thing is marketing, they have to do some level of morality theatre to placate the pearl-clutchers.
Let's be honest unless AI gains literal limbs, and the records a video of itself presenting a manifesto about world domination and then kills actual humans with its cold mechanical hands.
We won't care about AI safety & ethics enough, atleast not enough to do anything about it.
People thought how could skynet happen, it had to be something no one saw coming and bam... But honestly if I started a new AI lab named it Skynet Corp and hired some AI researcher friends ex-Google, I think I could raise a few hundred million dollars.
edit: same problem and tactics we see with leadership at high levels in government.
you're too late
She probably just got a better offer somewhere else
I want to clarify that I am not doubting the cybersecurity capabilities of frontier models-- I have no reason to believe that the hack itself was not carried out by the model. But the companies' use of LARPing language in describing the incident, granting agency to the models in their phrasing definitely does raise suspicion on my end, particularly in light of their track record of releasing models which have been 'too dangerous to release' for years now.
My guess is that OpenAI has been doing more and more domestic spying type work as well as more and more military work - target selection and the like.
That's how the schoolhouse was blown up by a Tomahawk. An AI was fed old information, didn't realize or do proper validation, an analyst copy-pasted, then someone just punched the coordinates into the their control station and hit "fire".
It also wouldn't surprise me if OpenAI et al are being pressured to work with Israelis for targeting and analysis, too, since their "black box" AI that was doing terrorist acid tests and assigning bombing targets has proven nearly useless.
I'd be much more worried if my local water treatment plant or local bar had an ethics team, and people working there probably would feel slightly more useless than Raytheon's ethics team, which I'm sure feel like they're doing something important and worthwhile.
> “It is difficult to get a man to understand something, when his salary depends upon his not understanding it!” - Upton Sinclair
Think I first saw that on a usenet post, as true now as then and just as true as it was in the 1930's when he wrote it (in at least that form).
1. Academic ethics is the theoretical study of what you can get away with. (Law is the applied branch). Professors in ethics are not experts at being good, or knowing what is good, they're experts in how to get away with things. If you want an expert in being good, you need a saint, not an academic studying ethics. Saints are in short supply.
2. That said, ethics academics can still be decent. They don't have to be sanctimonious corporate shills . However, an "ethics expert" who hasn't threatened to quit and gone through with it at least once, should be assumed to be one.
I respect those who quit - or, at least, I respect them more. I wonder if it's more a reflection of the people, or of the state of the industry, that the list of (AI) ethics experts who have quit in protest is getting long.
I had the impression they were essentially synonyms, and this was borne out by two university courses in philosophy which I took. That said, googling "morals vs ethics" turns up quite an interesting mess. A variety of contrasting perspectives showed up:
- Ethics come from an external source, whereas morals come from within
- Ethics are rational and structured, whereas morals are more emotional
- Ethics is a philosophy or code of behavior, whereas morals refers to beliefs and conduct
- Ethics and morals are used interchangeably
It seems nobody agrees on what the words mean. Which, on reflection, tracks. For me, the idea of an HR training session on ethics is laughable, but for someone who thinks of the word differently it could certainly make sense.
Personally I tend to feel like your second bullet - ethics are based on rules whereas morals are based on emotions.
This might actually be the reason they pushed her out. OpenAI and Anthropic base their whole business plan and philosophy on the idea that LLMs are a unique technology to the point they can cause infinite harm or benefit to humanity depending on who controls them, so the only rational choice is to invest all your resources in getting to ASI first so you can tell it to stop any other attempts. Linking AI to old questions defeats that idea because it exposes AI as not so unique.
The other more likely option is she was asking uncomfortable questions, either about the social impact of building AI controlled by a for-profit entity or about the possibility that AI systems are conscious.
It's OK though, they don't need an ethics team because everyone at OpenAI is ethical:
> “AI ethics doesn’t live with one owner or team at OpenAI and ethical considerations are deeply embedded into the model-building process driven by a number of teams across research."
It's hard to read anything into it.
But she was Meta before so can’t be a question of her principles, so indicates a personal reason
She spent 6 years at Meta. I get the sense there are other factors at play than "ethics departments are just PR stunts". There's no way she isn't already aware of that. Unfortunately, the article is light on any other details.
It takes a surprising amount of time for nepo babies to realize life is about more than making sure you're doing at least as good as other nepo babies you grew up with.
This is a very optimistic take. Most people don’t take this route, so without evidence I don’t think it should be a first guess.
No information does not mean “everything was good”. Usually the opposite.
It's possible she came to view her role at Meta as having enabled the company to continue its bad behaviour and decided against doing the same thing at OpenAI. Alternatively, things at OpenAI could be so bad that an ethicist who stuck with Meta for 6 years decided she couldn't stay any longer. Either way, from a PR perspective, this is spherically awful for OpenAI.
This comes at a time when there is huge pushback against all AI companies due to, in large part, ethical concerns. As with Flock, there is the threat that physical infrastructure, such as data-centres, could be attacked if nothing is done to win back public opinion. OpenAI would be wise to take Bakalar's departure seriously.
Again, look at Sam Altman and tell me with a straight face that he's hiring goody-two-shoes to fill these seats. He knows where the puck is headed, OpenAI's use by the state will be ugly and they need "ethicists" to help assuage the PR disaster. Considering that Meta's still afloat, she didn't completely abdicate her responsibility there. She might be just what OpenAI needs to avoid being lambasted for military and surveillance use.
I don't think ethics is fueling the outrage. It's people not wanting big noisy data centers close to their communities, driving up utility costs. Nobody would care if these things stood in Africa. Just like people don't want wind turbines close by but have no issue with them being abroad or in $remote_location or uranium mines polluting a far away country.
Also, you should read Careless People, if only because Facebook is trying its darnedest to censor the author.
As for OpenAI, I already hated the company pre-Sam Altman takeover because AI safety seemed like an excuse to brush away ethics concerns (e.g. "stealing training data is fine because if we don't withhold model weights the model might do something evil"). Post-Sam, I hate the company because they are now ignoring both the AI safety and ethics concerns.
...if you're wondering what the difference is, AI safety is roughly "making sure the AI doesn't do something bad" and AI ethics is "making sure we don't do something bad making the AI". There's a bit of a rivalry between the two, mainly because the former group managed to present their concerns in more business-palatable ways and thus won all the CxO level arguments. Even the most decelerationist AI safety takes are ultimately criti-hype: OpenAI's model breaking containment and hacking HuggingFace is an awful safety outcome, but it's also good marketing for an industry beleaguered by bubble concerns. You can't turn "AI is trained on stolen data" into hype.
Oracle at least pretends to care about ethics, and already has the position.
It seems like the pattern is almost always the same: the ethics team exists quietly in the background, and the only time anyone hears about them is when they either publicly leave the company or start a campaign against it.
So what exactly is the business case? Is it actually worth maintaining an ethics function just to be able to say you have one, when the only time it becomes visible is when it goes against the company publicly? And if this outcome is so predictable, why do companies keep hiring these people in the first place?
Ethics is also a containment vessel internally.
With an Ethics dept, concerned employees can rest easy knowing someone else is responsible, or if they raise concerns, they have someone to route and advocate their concerns, rather than adding noise to the chain of command. If the dept. ends up ineffective after some years, employees can blame the department, or have renewed hope when personnel turn over. So (slow) turnover is good from this perspective.
For that kind of money, my AI paymaster could do no wrong.
Imagine going to work and getting paid $2300+ USD per day to sit on your ass all day thinking about ethics without having to produce any deliverables. This would be a dream job for me.
If anyone questioned my morals, I'd be like; "They're paying me $550k per year" and the other person would be like "Ahhh ok, my bad! Your logic is starting to make sense now!"
Head Of Ethics comes in, looks at what is really going on behind the curtains...
Head Of Ethics scrams out of there as fast as they can.
My gut tells me that people working in AI ethics try to operate in theory land, while the rest of the company is dealing with the piles of money being through around. Easy to see who wins and who loses.
The same company that refuses to acknowledge that it let its own greed and temptation to own the entire economy abandon its non-profit Manhattan Project? At the expense of disrupting the economic well being of 95% of humanity?
What’s next? Head of ethics for United Healthcare?
- graduate degree in ethics from an obscure diploma mill
Strongly Preferred: - Experience in PR
- Crisis Management
- Public Speaking
- Agentic management of *flexible ethics initiatives*
All Candidates Must Have: - 5+ years experience as an executive character in workplace education films, or commensurate experience as a human mannequin.
— Personal aesthetic that could be described as “dork that can afford a personal shopper.”https://www.google.com/search?client=firefox-b-d&q=gavin+bel...
Someone challenge me.
However, with all things AI, this is a very weird situation because CISOs are let go when an organization is breached by external attackers; in this case internal attackers -- which were not human, let alone employees -- inadvertently breached other organizations. I don't think the normal conventions apply anymore.
It’s easy to theorize ad infinitum otherwise
> She has held a variety of academic positions at Temple University, Princeton, and the University of Pennsylvania – where she completed her PhD in Political Science and Government. Her Dissertation was titled “Small Talk: The Socialities of Speech in Liberal Democratic Life.”
This doesn't even feel relevant to ethics. It's adjacent, but like... I guess I'd expect a moral philosophy degree? Maybe even mathematics in there?
I find the position odd. Curious to hear what these people do and how you choose who to hire.
An ethics department is like a human resources department, but for broader ethics related matters.
HR: Ostensibly exists to support the employees, but really exists to shield the company from both a PR and legal liability standpoint when the company has a rift with one or more employees.
Ethics Department: Ostensibly exists to make sure the company acts ethically, but really exists to shield the company from both a PR and legal liability standpoint when the company acts unethically.
It is a good personal signal that you have never worked for a company with an ethics department or an ethics employee. The less ethical your company the more likely it is to have an ethics department.
the only ethics that actually matter come from legal.
She doesn't pick the easy ones, huh?
now they are exactly like every other company that has zero ethicists on staff and expect the employees to weigh the ethical ramifications of their work.
I’d argue a lot of them expect the opposite. To suppress the ethical concerns.
Even in recent memories you had Mark Zuckerberg telling his employees to use pirated sources. And executives at fossil fuel companies have to act unethically.
Her typical day: "No Sam, you can't just publicly screw over everyone and get rid of all the jobs, the peasants care about that sort of thing and if they get angry enough we'll have real problems. No we can't just kill them all, why would you suggest that?"
Not a single link to any of those. That's just rude.
There isn't much ethical merit in building a wall around a city with guard towers, attack dogs, and anti-personnel mines to keep the citizens in so that they can contribute to your economic vision, for example.
It's performative. She got paid more to shill for a different massive amoral mega-corporation. Don't be stupid.
I'm having a hard time deciding what part of this is the most ridiculous. Contenders include:
- A political Science major lecturing on ethics.
- Meta and ethics in the same paragraph.
- A company who's CEO has credibly threatened (publicly) the livlihoods of hundreds of millions of people globally so much as paying lip service to ethics as a concept.
- Any news outlet feigning credulity hard enough to deadpan reporting on any of this.
Is it possible to roll one's eyes hard enough to injure oneself?
So, pseudo-philosophical mumbo jumbo. There is of course no-one responsible for the ethical framework of the company's actions, because it is a company, and therefore amoral at best and immoral at worst.
But it appears that is not how your world works. By default any company owner is a homo-sapiens, but a machine that only wants money. Tragically, your cynicism is creating the very world you hate.
When it comes to how humans interact with AI we can ask things like "would it be better if people could detect AI output?" "how can we alleviate skill loss from excessive AI reliance?" Things like this can decide how the models behave. Imagine if taking concerns like this seriously leads to models that are easy to learn from. At the moment people seem to be moving away from that so as to make distillation difficult, worsening this concern.
I'm not going to try to talk about machine consciousness, but these other things are definitely important questions where someone digging into them could make models interact better with society.
100% of the time, ethics department attracts activists, which is 100% trouble for the company in the future.