please spellcheck this part of subtitle, keep the time codes unchanged:

535
00:24:57,951 --> 00:25:01,210
in order to fully realize the
potential of AI planning?

536
00:25:01,910 --> 00:25:03,790
Well, one of the biggest challenges
is going to be

537
00:25:03,791 --> 00:25:07,370
ensuring that these AI systems
are safe and reliable.

538
00:25:07,870 --> 00:25:08,010
Right.

539
00:25:08,530 --> 00:25:09,830
After all,
we're talking about machines that

540
00:25:09,831 --> 00:25:12,370
are going to be making decisions that
could have a real impact on our lives.

541
00:25:12,371 --> 00:25:15,170
Right. We don't want our
self-driving cars taking

542
00:25:15,171 --> 00:25:17,530
us on a detour through
a construction zone,

543
00:25:17,550 --> 00:25:21,290
or our robot surgeons accidentally
removing the wrong organ.

544
00:25:21,630 --> 00:25:22,630
Exactly.

545
00:25:22,990 --> 00:25:26,170
So a lot of work needs to be done
to ensure that these systems are robust,

546
00:25:26,570 --> 00:25:30,670
reliable, and capable of
handling unexpected situations.

547
00:25:31,210 --> 00:25:34,670
And that's not just a technical challenge,
it's also a social and ethical one.

548
00:25:34,910 --> 00:25:34,990
Right.

549
00:25:34,991 --> 00:25:38,290
We need to make sure that these AI
systems are aligned with our values

550
00:25:38,291 --> 00:25:40,870
and that they're used in a way
that benefits all of humanity,

551
00:25:41,370 --> 00:25:42,690
not just a select few.

552
00:25:43,110 --> 00:25:46,870
Absolutely. We need to be having
conversations about the

553
00:25:46,871 --> 00:25:52,190
ethical implications of AI right now before
this technology advances even further.

554
00:25:52,930 --> 00:25:57,710
What are the potential risks and benefits?
How do we ensure that AI is used for good?

555
00:25:58,110 --> 00:26:00,990
These are questions that we need to
be asking ourselves as a society.

556
00:26:01,490 --> 00:26:03,030
And there are no easy answers, are there?

557
00:26:03,031 --> 00:26:04,070
No, there aren't. Yeah.

558
00:26:04,290 --> 00:26:07,536
But that's what makes this such a
fascinating and important topic to explore.

559
00:26:07,537 --> 00:26:10,810
Because the future of
AI is not something that's

560
00:26:10,811 --> 00:26:14,430
going to be decided by
algorithms or lines of code.

561
00:26:14,790 --> 00:26:14,950
Right.

562
00:26:15,290 --> 00:26:18,150
It's going to be shaped by the
choices that we make today.

563
00:26:18,530 --> 00:26:22,170
So let's make sure we choose wisely.
We'll delve deeper into the

564
00:26:22,171 --> 00:26:25,890
ethical considerations of
AI planning and explore what the future

565
00:26:25,891 --> 00:26:27,990
holds for this rapidly
evolving technology.

566
00:26:27,991 --> 00:26:32,590
It's like we're standing at a crossroads
with multiple paths laid out before us.

567
00:26:33,110 --> 00:26:36,290
Each path representing a different
potential future for AI.

568
00:26:36,610 --> 00:26:36,670
Right.

569
00:26:37,270 --> 00:26:40,350
And the choices that we make today will
determine which path we end up taking.

570
00:26:40,550 --> 00:26:42,206
So it's not just about
the technology itself,

571
00:26:42,230 --> 00:26:44,750
but about how we choose to
use it and how we

572
00:26:44,751 --> 00:26:48,130
prepare for its impact on
society as a whole.

573
00:26:48,470 --> 00:26:51,730
Exactly. Technology is a tool.
And like any tool,

574
00:26:52,090 --> 00:26:53,730
it can be used for good or for ill.

575
00:26:53,950 --> 00:26:54,090
Right.

576
00:26:54,091 --> 00:26:58,130
It's up to us to make sure that
AI is used to enhance our lives,

577
00:26:58,590 --> 00:26:59,650
not to diminish them.

578
00:27:00,110 --> 00:27:02,510
So where do we even
begin with that? How do we

579
00:27:02,511 --> 00:27:05,630
ensure that AI is developed
and deployed responsibly?

580
00:27:06,250 --> 00:27:07,990
Well, I think education is key. Okay.

581
00:27:08,330 --> 00:27:11,650
The more people understand about AI,
how it works, its potential implications,

582
00:27:12,210 --> 00:27:14,290
the better equipped will be
to make informed

583
00:27:14,291 --> 00:27:17,110
decisions about its development
and its use.

584
00:27:17,330 --> 00:27:19,630
Right. We don't want AI
to be this mysterious

585
00:27:19,631 --> 00:27:22,410
black box that only a
select few understand.

586
00:27:22,411 --> 00:27:22,890
Right.

587
00:27:23,050 --> 00:27:26,110
We need to kind of demystify it,
make it accessible to everyone.

588
00:27:26,230 --> 00:27:28,350
Absolutely. And that's something
we've been trying

589
00:27:28,351 --> 00:27:31,370
to do with this deep dive,
to break down these complex concepts,

590
00:27:31,371 --> 00:27:33,890
make them relevant,
understandable for everyone.

591
00:27:34,050 --> 00:27:37,850
Right. Because at the end of the day,
AI is going to impact all of us.

592
00:27:38,090 --> 00:27:38,330
It is.

593
00:27:38,570 --> 00:27:40,990
So we all have a stake
in shaping its future.

594
00:27:41,410 --> 00:27:43,910
I couldn't agree more.
And beyond education,

595
00:27:44,730 --> 00:27:46,950
I think it's crucial that we
have these open and

596
00:27:46,951 --> 00:27:50,670
honest conversations about the ethical
implications of AI.

597
00:27:51,170 --> 00:27:51,410
Right.

598
00:27:51,411 --> 00:27:53,490
And these conversations
need to involve everyone,

599
00:27:53,510 --> 00:27:55,470
not just tech experts
and policy makers.

600
00:27:55,590 --> 00:27:57,490
Right. Because AI doesn't exist
in a vacuum.

601
00:27:57,710 --> 00:27:58,050
Exactly.

602
00:27:58,310 --> 00:28:02,690
It's going to be interacting with
our existing social structures,

603
00:28:02,930 --> 00:28:04,070
our values, our biases.

604
00:28:04,490 --> 00:28:04,730
It is.

605
00:28:04,930 --> 00:28:08,550
So we need to be really thoughtful about
how we integrate it into our world.

606
00:28:08,870 --> 00:28:11,430
Exactly. We need to be
considering questions like,

607
00:28:11,770 --> 00:28:15,410
how do we ensure that AI
is used fairly and equitably?

608
00:28:15,411 --> 00:28:19,350
How do we prevent AI
from like perpetuating

609
00:28:19,351 --> 00:28:22,250
or even amplifying
existing social biases?

610
00:28:23,090 --> 00:28:26,266
How do we protect
privacy in a world where AI

611
00:28:26,267 --> 00:28:28,930
is constantly collecting
and analyzing data?

612
00:28:29,290 --> 00:28:32,431
Those are some really big questions. And
I have a feeling there are no easy answers.

613
00:28:32,490 --> 00:28:33,170
You're right. There aren't.

614
00:28:33,270 --> 00:28:33,390
Yeah.

615
00:28:33,750 --> 00:28:35,570
But that's okay. The important thing
is that we're asking

616
00:28:35,571 --> 00:28:37,852
these questions and that we're
having these conversations.

617
00:28:38,390 --> 00:28:40,870
Because the more we grapple
with these ethical dilemmas,

618
00:28:40,871 --> 00:28:43,230
the better prepared will be
to navigate the

619
00:28:43,231 --> 00:28:45,270
challenges and the opportunities
that AI presents.

620
00:28:45,271 --> 00:28:48,910
So as we stand on the cusp of this,
like AI revolution,

621
00:28:49,510 --> 00:28:53,490
what are you most excited about? And like,
what are you most wary of?

622
00:28:53,770 --> 00:28:54,770
Honestly.

623
00:28:55,150 --> 00:28:58,510
I'm excited about the potential for
AI to help us

624
00:28:58,511 --> 00:29:00,470
solve some of the world's
most pressing problems.

625
00:29:00,950 --> 00:29:04,750
Things like climate change, poverty,
disease. Imagine if we could

626
00:29:04,751 --> 00:29:08,630
harness the power of
AI to develop like clean energy solutions,

627
00:29:08,631 --> 00:29:11,389
create more equitable
economic systems, or

628
00:29:11,390 --> 00:29:14,170
even cure diseases like
cancer and Alzheimer's.

629
00:29:14,171 --> 00:29:16,890
Now that's a few try can get behind.
But what about the flip side?

630
00:29:17,270 --> 00:29:20,710
What are some of the potential
downsides of AI that keep you up at night?

631
00:29:21,250 --> 00:29:24,550
Well, one concern that I have is
the potential for job displacement.

632
00:29:25,330 --> 00:29:29,570
As AI becomes more sophisticated,
it's inevitable that it's going

633
00:29:29,571 --> 00:29:32,430
to automate tasks
that are currently performed by humans.

634
00:29:32,630 --> 00:29:36,970
And that could lead to significant
job losses in certain sectors.

635
00:29:37,130 --> 00:29:41,350
That's a valid concern, especially in
industries that are already heavily automated.

636
00:29:41,870 --> 00:29:44,710
Right. So I think it's crucial that
we start thinking like now

637
00:29:44,711 --> 00:29:48,510
about how we're going to adapt
to this changing job market.

638
00:29:48,870 --> 00:29:51,570
How do we retrain workers whose
jobs are at risk?

639
00:29:51,970 --> 00:29:54,390
How do we create new opportunities
in these emerging fields?

640
00:29:54,970 --> 00:29:57,410
These are questions that we need
to be addressing proactively.

641
00:29:57,530 --> 00:30:01,971
Because the last thing we want is for AI
to exacerbate existing social inequalities.

642
00:30:02,370 --> 00:30:04,752
Exactly. We need to make
sure that the benefits of

643
00:30:04,753 --> 00:30:08,050
AI are shared by everyone,
not just a select few.

644
00:30:08,051 --> 00:30:12,910
So as we wrap up this deep dive
into the world of AI planning,

645
00:30:13,330 --> 00:30:16,070
what's the one thing you want our listeners
to take away from this conversation?

646
00:30:16,890 --> 00:30:19,950
I want them to remember that the
future of AI is not predetermined.

647
00:30:20,930 --> 00:30:24,570
It's not something that's going to be
decided by algorithms or lines of code.

648
00:30:24,970 --> 00:30:27,430
It's going to be shaped by the
choices that we make today.

649
00:30:27,810 --> 00:30:30,030
So let's make sure we choose wisely.

650
00:30:30,930 --> 00:30:32,570
To our listeners,
thank you for joining us on this

651
00:30:32,571 --> 00:30:34,850
incredible journey into the world
of AI planning.

652
00:30:34,851 --> 00:30:37,250
We hope this deep dive has
left you feeling informed,

653
00:30:37,750 --> 00:30:39,130
intrigued,
and maybe even a little

654
00:30:39,131 --> 00:30:42,910
bit inspired to learn more about this
fascinating and rapidly evolving field.

655
00:30:43,510 --> 00:30:47,190
Until next time, keep exploring,
keep questioning, and keep diving deep.